[리뷰] Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion (WACV 2025)
논문 리뷰 - 0310
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programming
[스터디] Normalization의 종류와 장단점에 대하여
LN, BN, GN - 0304
[review] Cross-Domain and Cross-Modal Knowledge Distillation in Domain Adaptation for 3D Semantic Segmentation (MM 2022)
paper review - 0302
[리뷰] Cross-Domain and Cross-Modal Knowledge Distillation in Domain Adaptation for 3D Semantic Segmentation (MM 2022)
논문 리뷰 - 0302
[review] Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval (MM 2024)
paper review - 0223
[리뷰] Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval (MM 2024)
논문 리뷰 - 0223
[review] ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation (ICLR 2025)
paper review - 0223
[review] Mitigate the Gap: Improving Cross-Modal Alignment in CLIP (ICLR 2025)
paper review - 0216
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[review] Cross-Domain and Cross-Modal Knowledge Distillation in Domain Adaptation for 3D Semantic Segmentation (MM 2022)
paper review - 0302
[review] Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval (MM 2024)
paper review - 0223
[review] ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation (ICLR 2025)
paper review - 0223
[review] Mitigate the Gap: Improving Cross-Modal Alignment in CLIP (ICLR 2025)
paper review - 0216