3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in zero-shot-single-object-tracking-7
Use these libraries to find zero-shot-single-object-tracking-7 models and implementations
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The proposed approach, Elysium: Exploring Object-level Perception in Videos via MLLM, is an end-to-end trainable MLLM that attempts to conduct object-level tasks in videos without requiring any additional plug-in or expert models.
Adding a benchmark result helps the community track progress.