Summary of Fine-grained Background Representation For Weakly Supervised Semantic Segmentation, by Xu Yin et al.
Fine-grained Background Representation for Weakly Supervised Semantic Segmentationby Xu Yin, Woobin Im, Dongbo Min, Yuchi…
Fine-grained Background Representation for Weakly Supervised Semantic Segmentationby Xu Yin, Woobin Im, Dongbo Min, Yuchi…
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworksby Sefika Efeoglu, Adrian…
V-LASIK: Consistent Glasses-Removal from Videos Using Synthetic Databy Rotem Shalev-Arkushin, Aharon Azulay, Tavi Halperin, Eitan…
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphsby Junjie Wang, Mingyang Chen,…
Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerabilityby Riya Sawhney, Samrat…
Self-supervised Interpretable Concept-based Models for Text Classificationby Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro…
SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shotsby Weixing Wang, Haojin Yang,…
DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detectionby Zhuoxiao Chen, Zixin Wang, Yadan…
BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillationby Minchong Li, Feng Zhou, Xiaohui…
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Videoby Xiangming Zhu, Huayu…