dataset stringlengths 0 82 | model_name stringlengths 0 150 | paper_title stringlengths 19 175 | paper_date timestamp[ns] | paper_url stringlengths 32 35 | code_links listlengths 1 1 | prompts stringlengths 105 331 | answer stringlengths 1 67 |
|---|---|---|---|---|---|---|---|
LRS3-TED | Whisper-Flamingo | Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation | 2024-06-14T00:00:00 | https://arxiv.org/abs/2406.10082v3 | [
"https://github.com/roudimit/whisper-flamingo"
] | In the paper 'Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation', what Word Error Rate (WER) score did the Whisper-Flamingo model get on the LRS3-TED dataset
| 0.76 |
COCO test-dev | LeYOLO-Medium@640 | LeYOLO, New Scalable and Efficient CNN Architecture for Object Detection | 2024-06-20T00:00:00 | https://arxiv.org/abs/2406.14239v1 | [
"https://github.com/LilianHollard/LeYOLO"
] | In the paper 'LeYOLO, New Scalable and Efficient CNN Architecture for Object Detection', what Params (M) score did the LeYOLO-Medium@640 model get on the COCO test-dev dataset
| 2.4 |
MCubeS | StitchFusion (RGB-A-D-N) | StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation | 2024-08-02T00:00:00 | https://arxiv.org/abs/2408.01343v1 | [
"https://github.com/libingyu01/stitchfusion-stitchfusion-weaving-any-visual-modalities-to-enhance-multimodal-semantic-segmentation"
] | In the paper 'StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation', what mIoU score did the StitchFusion (RGB-A-D-N) model get on the MCubeS dataset
| 53.92 |
MedConceptsQA | BioMistral/BioMistral-7B-DARE | BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains | 2024-02-15T00:00:00 | https://arxiv.org/abs/2402.10373v3 | [
"https://github.com/biomistral/biomistral"
] | In the paper 'BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains', what Accuracy score did the BioMistral/BioMistral-7B-DARE model get on the MedConceptsQA dataset
| 25.058 |
WHOOPS! | VLIS (LLaVA) | VLIS: Unimodal Language Models Guide Multimodal Language Generation | 2023-10-15T00:00:00 | https://arxiv.org/abs/2310.09767v2 | [
"https://github.com/jiwanchung/vlis"
] | In the paper 'VLIS: Unimodal Language Models Guide Multimodal Language Generation', what Accuracy score did the VLIS (LLaVA) model get on the WHOOPS! dataset
| 73 |
MVTec AD | AnomalyDINO-S (1-shot) | AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 | 2024-05-23T00:00:00 | https://arxiv.org/abs/2405.14529v2 | [
"https://github.com/dammsi/AnomalyDINO"
] | In the paper 'AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2', what Detection AUROC score did the AnomalyDINO-S (1-shot) model get on the MVTec AD dataset
| 96.6 |
PASCAL Context-59 | CLIPSelf | CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction | 2023-10-02T00:00:00 | https://arxiv.org/abs/2310.01403v2 | [
"https://github.com/wusize/clipself"
] | In the paper 'CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction', what mIoU score did the CLIPSelf model get on the PASCAL Context-59 dataset
| 62.3 |
Hateful Memes | ISSUES | Mapping Memes to Words for Multimodal Hateful Meme Classification | 2023-10-12T00:00:00 | https://arxiv.org/abs/2310.08368v1 | [
"https://github.com/miccunifi/issues"
] | In the paper 'Mapping Memes to Words for Multimodal Hateful Meme Classification', what ROC-AUC score did the ISSUES model get on the Hateful Memes dataset
| 0.855 |
ADE20K Labels-to-Photos | SCDM | Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis | 2024-02-26T00:00:00 | https://arxiv.org/abs/2402.16506v3 | [
"https://github.com/mlvlab/scdm"
] | In the paper 'Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis', what mIoU score did the SCDM model get on the ADE20K Labels-to-Photos dataset
| 49.4 |
Mapillary val | MRFP+(Ours) Resnet50 | MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation | 2023-11-30T00:00:00 | https://arxiv.org/abs/2311.18331v2 | [
"https://github.com/airl-iisc/MRFP"
] | In the paper 'MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation', what mIoU score did the MRFP+(Ours) Resnet50 model get on the Mapillary val dataset
| 44.93 |
Cityscapes to Foggy Cityscapes | UMT (ResNet50-FPN) | Align and Distill: Unifying and Improving Domain Adaptive Object Detection | 2024-03-18T00:00:00 | https://arxiv.org/abs/2403.12029v2 | [
"https://github.com/justinkay/aldi"
] | In the paper 'Align and Distill: Unifying and Improving Domain Adaptive Object Detection', what mAP@0.5 score did the UMT (ResNet50-FPN) model get on the Cityscapes to Foggy Cityscapes dataset
| 61.4 |
AIR | ReGaDa | Video-adverb retrieval with compositional adverb-action embeddings | 2023-09-26T00:00:00 | https://arxiv.org/abs/2309.15086v1 | [
"https://github.com/ExplainableML/ReGaDa"
] | In the paper 'Video-adverb retrieval with compositional adverb-action embeddings', what mAP W score did the ReGaDa model get on the AIR dataset
| 0.704 |
ETTm2 (720) Multivariate | PRformer | PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting | 2024-08-20T00:00:00 | https://arxiv.org/abs/2408.10483v1 | [
"https://github.com/usualheart/prformer"
] | In the paper 'PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting', what MSE score did the PRformer model get on the ETTm2 (720) Multivariate dataset
| 0.359 |
TXL-PBC: a freely accessible labeled peripheral blood cell dataset | yolov8s | TXL-PBC: a freely accessible labeled peripheral blood cell dataset | 2024-07-18T00:00:00 | https://arxiv.org/abs/2407.13214v1 | [
"https://github.com/lugan113/TXL-PBC_Dataset"
] | In the paper 'TXL-PBC: a freely accessible labeled peripheral blood cell dataset', what mAP50 score did the yolov8s model get on the TXL-PBC: a freely accessible labeled peripheral blood cell dataset dataset
| 0.977 |
Weather2K850 (720) | MoLE-DLinear | Mixture-of-Linear-Experts for Long-term Time Series Forecasting | 2023-12-11T00:00:00 | https://arxiv.org/abs/2312.06786v3 | [
"https://github.com/rogerni/mole"
] | In the paper 'Mixture-of-Linear-Experts for Long-term Time Series Forecasting', what MSE score did the MoLE-DLinear model get on the Weather2K850 (720) dataset
| 0.461 |
ogbl-citation2 | CFG | Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer? | 2023-09-11T00:00:00 | https://arxiv.org/abs/2309.06574v1 | [
"https://github.com/jingsonglv/CFG"
] | In the paper 'Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer?', what Test MRR score did the CFG model get on the ogbl-citation2 dataset
| 0.8997 ± 0.0015 |
MSVD-QA | LocVLM-Vid-B | Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs | 2024-04-11T00:00:00 | https://arxiv.org/abs/2404.07449v1 | [
"https://github.com/kahnchana/locvlm"
] | In the paper 'Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs', what Accuracy score did the LocVLM-Vid-B model get on the MSVD-QA dataset
| 66.1 |
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