Update README.md

README.md

@@ -41,4 +41,22 @@ The LSDBench dataset is designed to evaluate the sampling efficiency of long-vid
 
 ## Evaluation on LSDBench
 
-Please see our [github repo](https://github.com/dvlab-research/LSDBench) for detailed evaluation guide.
+Please see our [github repo](https://github.com/dvlab-research/LSDBench) for detailed evaluation guide.
+
+<div align=left>
+<img width="45%" src="https://raw.githubusercontent.com/dvlab-research/LSDBench/main/assets/main_table.png"/>
+</div>
+
+_**Performance comparison of different models and sampling
+strategies.** We present three testing settings in total: Only
+Text, Oracle, and Full Video. In the Only Text setting, the model is
+provided with no visual information whatsoever. The Oracle setting
+involves using the annotated target segment as the video input,
+while the Full Video setting provides the complete long video as
+input. The ”Sampling” column lists the sampling strategies used:
+FPS represents sampling at fixed time intervals, fixed denotes uniform
+sampling with a fixed number of frames, and 2stage refers
+to the method we propose. Under each sampling strategy, the average
+number of sampled frames during evaluation on the LSDBench
+dataset is reported in the ”Frames” column, along with the
+corresponding sampling density (SD)._