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πποΈπ New Research Alert - ICCV 2025 (Poster)! πποΈπ
π Title: Is Less More? Exploring Token Condensation as Training-Free Test-Time Adaptation π
π Description: Token Condensation as Adaptation (TCA) improves the performance and efficiency of Vision Language Models in zero-shot inference by introducing domain anchor tokens.
π₯ Authors: Zixin Wang, Dong Gong, Sen Wang, Zi Huang, Yadan Luo
π
Conference: ICCV, 19 β 23 Oct, 2025 | Honolulu, Hawai'i, USA πΊπΈ
π Paper: https://huggingface.co/papers/2410.14729
π Repository: https://github.com/Jo-wang/TCA
π ICCV-2023-25-Papers: https://github.com/DmitryRyumin/ICCV-2023-25-Papers
π Added to the Session 1: https://github.com/DmitryRyumin/ICCV-2023-25-Papers/blob/main/sections/2025/main/session-1.md
π More Papers: more cutting-edge research presented at other conferences in the https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
π Keywords: #TestTimeAdaptation #TokenCondensation #VisionLanguageModels #TrainingFreeAdaptation #ZeroShotLearning #EfficientAI #AI #ICCV2025 #ResearchHighlight
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