SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

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Showing 681–690 of 1149 papers

TitleStatusHype
End-to-end Generative Pretraining for Multimodal Video Captioning—0
End-to-End Joint Semantic Segmentation of Actors and Actions in Video—0
End-to-End Video Classification with Knowledge Graphs—0
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning—0
Enhancing Long Video Understanding via Hierarchical Event-Based Memory—0
Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference Optimization—0
Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training—0
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis—0
Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model—0
EVA: An Embodied World Model for Future Video Anticipation—0
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