TeD-Loc improves weakly supervised object localization by distilling CLIP text embeddings to patch embeddings through contrastive alignment plus a localization-guided classifier and QR orthogonalization of text embeddings.
An image is worth 16x16 words, what is a video worth?
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TemporalVLM adds timestamp-aware clip encoding and BiLSTM global aggregation to video LLMs, introduces the IndustryASM factory dataset, and reports outperformance on dense captioning, temporal grounding, highlight detection, and action segmentation.
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TeD-Loc: Text Distillation for Weakly Supervised Object Localization
TeD-Loc improves weakly supervised object localization by distilling CLIP text embeddings to patch embeddings through contrastive alignment plus a localization-guided classifier and QR orthogonalization of text embeddings.
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TemporalVLM: Video LLMs for Temporal Reasoning in Long Videos
TemporalVLM adds timestamp-aware clip encoding and BiLSTM global aggregation to video LLMs, introduces the IndustryASM factory dataset, and reports outperformance on dense captioning, temporal grounding, highlight detection, and action segmentation.