VISTA is a new ~12K-pair benchmark and taxonomy for open-set multi-entity spatio-temporal understanding in VLMs that decomposes videos into entities, actions, and relational dynamics for multi-axis diagnostics.
Simple open-vocabulary object detection
2 Pith papers cite this work. Polarity classification is still indexing.
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DetRefiner fuses global and local features with a Transformer to refine OVOD confidence scores, delivering up to +10.1 AP gains on novel categories across multiple datasets.
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VISTA: Video Interaction Spatio-Temporal Analysis Benchmark
VISTA is a new ~12K-pair benchmark and taxonomy for open-set multi-entity spatio-temporal understanding in VLMs that decomposes videos into entities, actions, and relational dynamics for multi-axis diagnostics.
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DetRefiner: Model-Agnostic Detection Refinement with Feature Fusion Transformer
DetRefiner fuses global and local features with a Transformer to refine OVOD confidence scores, delivering up to +10.1 AP gains on novel categories across multiple datasets.