prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GIT2 model in the GIT: A Generative Image-to-text Transformer for Vision and Language paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the GIT model in the GIT: A Generative Image-to-text Transformer for Vision and Language paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the Microsoft Cognitive Services team model in the Scaling Up Vision-Language Pre-training for Image Captioning paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the VLAF2 model in the paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the Microsoft Cognitive Services team model in the VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the Human model in the paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the icp2ssi1_coco_si_0.02_5_test model in the paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the test_cbs2 model in the paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the UpDown + ELMo + CBS model in the paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the Neural Baby Talk + CBS model in the paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the UpDown model in the paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the Neural Baby Talk model in the paper on the nocaps-XD entire dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the Unified VLP model in the Unified Vision-Language Pre-Training for Image Captioning and VQA paper on the Flickr30k Captions test dataset? | BLEU-4, CIDEr, METEOR, SPICE |
What metrics were used to measure the Cornia et al model in the Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention paper on the Flickr30k Captions test dataset? | BLEU-4, CIDEr, METEOR, SPICE |
What metrics were used to measure the BRNN model in the Deep Visual-Semantic Alignments for Generating Image Descriptions paper on the Flickr30k Captions test dataset? | BLEU-4, CIDEr, METEOR, SPICE |
What metrics were used to measure the KOSMOS-1 1.6B (zero-shot) model in the Language Is Not All You Need: Aligning Perception with Language Models paper on the Flickr30k Captions test dataset? | BLEU-4, CIDEr, METEOR, SPICE |
What metrics were used to measure the MetaLM model in the Language Models are General-Purpose Interfaces paper on the Flickr30k Captions test dataset? | BLEU-4, CIDEr, METEOR, SPICE |
What metrics were used to measure the FewVLM model in the A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models paper on the Flickr30k Captions test dataset? | BLEU-4, CIDEr, METEOR, SPICE |
What metrics were used to measure the VL-T5 model in the Unifying Vision-and-Language Tasks via Text Generation paper on the Flickr30k Captions test dataset? | BLEU-4, CIDEr, METEOR, SPICE |
What metrics were used to measure the BLIP-2 ViT-G FlanT5 XL (zero-shot) model in the BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models paper on the nocaps-val-out-domain dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the BLIP-2 ViT-G OPT 6.7B (zero-shot) model in the BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models paper on the nocaps-val-out-domain dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the BLIP-2 ViT-G OPT 2.7B (zero-shot) model in the BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models paper on the nocaps-val-out-domain dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the BLIP_ViT-L model in the BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation paper on the nocaps-val-out-domain dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the SimVLM model in the SimVLM: Simple Visual Language Model Pretraining with Weak Supervision paper on the nocaps-val-out-domain dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the BLIP_CapFilt-L model in the BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation paper on the nocaps-val-out-domain dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the LEMON_large model in the Scaling Up Vision-Language Pre-training for Image Captioning paper on the nocaps-val-out-domain dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the OmniVL model in the OmniVL:One Foundation Model for Image-Language and Video-Language Tasks paper on the nocaps-val-out-domain dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the Enc-Dec model in the Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts paper on the nocaps-val-out-domain dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the VinVL model in the VinVL: Revisiting Visual Representations in Vision-Language Models paper on the nocaps-val-out-domain dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the ExpansionNet v2 model in the ExpansionNet v2: Block Static Expansion in fast end to end training for Image Captioning paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the M2 Transformer model in the Meshed-Memory Transformer for Image Captioning paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the UNIMO-large model in the UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the RDN model in the Reflective Decoding Network for Image Captioning paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the Bit Diffusion (20 steps) model in the Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the Flamingo (80B; 4-shot) model in the Retrieval-Augmented Multimodal Language Modeling paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the RA-CM3 (2.7B) model in the Retrieval-Augmented Multimodal Language Modeling paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the Flamingo (3B; 4-shot) model in the Retrieval-Augmented Multimodal Language Modeling paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the Parti model in the Retrieval-Augmented Multimodal Language Modeling paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the NIC (ResNet-50, CutMix) model in the CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the Vanilla CM3 model in the Retrieval-Augmented Multimodal Language Modeling paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the X-LXMERT model in the Retrieval-Augmented Multimodal Language Modeling paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the minDALL-E model in the Retrieval-Augmented Multimodal Language Modeling paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the ruDALL-E-XL model in the Retrieval-Augmented Multimodal Language Modeling paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the DALL-E model in the Retrieval-Augmented Multimodal Language Modeling paper on the COCO dataset? | CIDEr, BLEU-1, BLEU-2, BLEU-3, BLEU-4, METEOR, ROUGE, ROUGE-L |
What metrics were used to measure the mPLUG model in the mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the OFA model in the OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the GIT model in the paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the BLIP-2 ViT-G OPT 2.7B (zero-shot) model in the BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the BLIP-2 ViT-G OPT 6.7B (zero-shot) model in the BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the ExpansionNet v2 (No VL pretraining) model in the ExpansionNet v2: Block Static Expansion in fast end to end training for Image Captioning paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the LEMON model in the Scaling Up Vision-Language Pre-training for Image Captioning paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the BLIP-2 ViT-G FlanT5 XL (zero-shot) model in the BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the GRIT (No VL pretraining - base) model in the GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the Prompt Tuning model in the Prompt Tuning for Generative Multimodal Pretrained Models paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the Oscar model in the Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the Xmodal-Ctx model in the Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the Xmodal-Ctx + OSCAR model in the Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the X-VLM (base) model in the Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the VinVL model in the VinVL: Revisiting Visual Representations in Vision-Language Models paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the CoCa model in the CoCa: Contrastive Captioners are Image-Text Foundation Models paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the SimVLM model in the SimVLM: Simple Visual Language Model Pretraining with Weak Supervision paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the Prismer model in the Prismer: A Vision-Language Model with An Ensemble of Experts paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the PTP-BLIP (14M) model in the Position-guided Text Prompt for Vision-Language Pre-training paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the L-Verse model in the L-Verse: Bidirectional Generation Between Image and Text paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the Xmodal-Ctx model in the Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the X-Transformer model in the X-Linear Attention Networks for Image Captioning paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the AoANet + VC model in the Visual Commonsense R-CNN paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the Transformer_NSC model in the A Better Variant of Self-Critical Sequence Training paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the Meshed-Memory Transformer model in the Meshed-Memory Transformer for Image Captioning paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the CLIP Text Encoder (RL w/ CIDEr-reward) model in the Fine-grained Image Captioning with CLIP Reward paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the RefineCap (w/ REINFORCE) model in the RefineCap: Concept-Aware Refinement for Image Captioning paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the RDN model in the Reflective Decoding Network for Image Captioning paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the ClipCap (Transformer) model in the ClipCap: CLIP Prefix for Image Captioning paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the ClipCap (MLP + GPT2 tuning) model in the ClipCap: CLIP Prefix for Image Captioning paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the CapDec model in the Text-Only Training for Image Captioning using Noise-Injected CLIP paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the From Captions to Visual Concepts and Back model in the From Captions to Visual Concepts and Back paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the VLKD (ViT-B/16) model in the Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the VALOR model in the VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the VAST model in the VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the Virtex (ResNet-101) model in the VirTex: Learning Visual Representations from Textual Annotations paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the KOSMOS-1 (1.6B) (zero-shot) model in the Language Is Not All You Need: Aligning Perception with Language Models paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the BLIP-FuseCap model in the FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions paper on the COCO Captions dataset? | BLEU-4, CIDER, METEOR, SPICE, ROUGE-L, BLEU-1, BLEU-2, BLEU-3, CLIPScore |
What metrics were used to measure the BLIP-2 ViT-G FlanT5 XL (zero-shot) model in the BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models paper on the nocaps-val-overall dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the BLIP-2 ViT-G OPT 6.7B (zero-shot) model in the BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models paper on the nocaps-val-overall dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the BLIP-2 ViT-G OPT 2.7B (zero-shot) model in the BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models paper on the nocaps-val-overall dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the LEMON_large model in the Scaling Up Vision-Language Pre-training for Image Captioning paper on the nocaps-val-overall dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the BLIP_ViT-L model in the BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation paper on the nocaps-val-overall dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the SimVLM model in the SimVLM: Simple Visual Language Model Pretraining with Weak Supervision paper on the nocaps-val-overall dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the BLIP_CapFilt-L model in the BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation paper on the nocaps-val-overall dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the OmniVL model in the OmniVL:One Foundation Model for Image-Language and Video-Language Tasks paper on the nocaps-val-overall dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the VinVL model in the VinVL: Revisiting Visual Representations in Vision-Language Models paper on the nocaps-val-overall dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the Enc-Dec model in the Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts paper on the nocaps-val-overall dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the OSCAR model in the Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks paper on the nocaps-val-overall dataset? | CIDEr, SPICE, Pretrain (#images) |
What metrics were used to measure the GIT2 model in the GIT: A Generative Image-to-text Transformer for Vision and Language paper on the nocaps-XD near-domain dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the GIT model in the GIT: A Generative Image-to-text Transformer for Vision and Language paper on the nocaps-XD near-domain dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the VLAF2 model in the paper on the nocaps-XD near-domain dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the Microsoft Cognitive Services team model in the VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning paper on the nocaps-XD near-domain dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the test_cbs2 model in the paper on the nocaps-XD near-domain dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the icp2ssi1_coco_si_0.02_5_test model in the paper on the nocaps-XD near-domain dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
What metrics were used to measure the Human model in the paper on the nocaps-XD near-domain dataset? | CIDEr, B1, B2, B3, B4, ROUGE-L, METEOR, SPICE |
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