Summary of Aligning Neuronal Coding Of Dynamic Visual Scenes with Foundation Vision Models, by Rining Wu et al.
Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Modelsby Rining Wu, Feixiang Zhou,…
Summary of Clamp-vit: Contrastive Data-free Learning For Adaptive Post-training Quantization Of Vits, by Akshat Ramachandran et al.
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTsby Akshat Ramachandran, Souvik Kundu, Tushar…
Summary of Precision Matters: Precision-aware Ensemble For Weakly Supervised Semantic Segmentation, by Junsung Park et al.
Precision matters: Precision-aware ensemble for weakly supervised semantic segmentationby Junsung Park, Hyunjung ShimFirst submitted to…
Summary of Task-agnostic Federated Learning, by Zhengtao Yao et al.
Task-Agnostic Federated Learningby Zhengtao Yao, Hong Nguyen, Ajitesh Srivastava, Jose Luis AmbiteFirst submitted to arxiv…
Summary of Peano-vit: Power-efficient Approximations Of Non-linearities in Vision Transformers, by Mohammad Erfan Sadeghi et al.
PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformersby Mohammad Erfan Sadeghi, Arash Fayyazi, Seyedarmin Azizi,…
Summary of Explora: Parameter-efficient Extended Pre-training to Adapt Vision Transformers Under Domain Shifts, by Samar Khanna et al.
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shiftsby Samar Khanna, Medhanie Irgau,…
Summary of Object Detection Using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition, by Taqwa Alhadidi et al.
Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognitionby Taqwa Alhadidi, Ahmed Jaber,…
Summary of Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders For 3d Medical Image Segmentation, by Pengfei Gu et al.
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentationby Pengfei Gu,…
Summary of Pc-lora: Low-rank Adaptation For Progressive Model Compression with Knowledge Distillation, by Injoon Hwang et al.
PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillationby Injoon Hwang, Haewon Park, Youngwan…
Summary of Dragonfly: Multi-resolution Zoom-in Encoding Enhances Vision-language Models, by Rahul Thapa and Kezhen Chen and Ian Covert and Rahul Chalamala and Ben Athiwaratkun and Shuaiwen Leon Song and James Zou
Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Modelsby Rahul Thapa, Kezhen Chen, Ian Covert, Rahul Chalamala,…