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cs.CV2025
Context-measure: Contextualizing Metric for Camouflage
Chen-Yang Wang, Ge-Peng Ji, Song Shao +2
Camouflage relies heavily on context, but current metrics used in camouflaged object segmentation ignore contextual cues. We identify two major drawbacks of these metrics: first, t…
cs.CV2025
Attention Debiasing for Token Pruning in Vision Language Models
Kai Zhao, Wubang Yuan, Yuchen Lin +5
Vision-language models (VLMs) typically encode substantially more visual tokens than text tokens, resulting in significant token redundancy. Pruning uninformative visual tokens is…
cs.CV2023★ 1 cited
QR-CLIP: Introducing Explicit Open-World Knowledge for Location and Time Reasoning
Weimin Shi, Mingchen Zhuge, Dehong Gao +3
Daily images may convey abstract meanings that require us to memorize and infer profound information from them. To encourage such human-like reasoning, in this work, we teach machi…