scarverm

摘要： 标题 FOCUS: Towards Universal Foreground Segmentation paper code 动机 “Previous research has typically designed task-specific architectures for each task, 阅读全文

摘要： 标题 CamoFormer: Masked Separable Attention for Camouflaged Object Detection CamoFormer：基于掩码可分离注意力的伪装目标检测 paper code 引言 本论文方法与最近SOTA方法的视觉对比. 最近的SOTA方法仍在 阅读全文

摘要： 标题 Per-Pixel Classification is Not All You Need for Semantic Segmentation （NIPS 2021） 论文：Per-Pixel Classification is Not All You Need for Semantic Seg 阅读全文

摘要： 标题 Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects 放松 SAM 中特定于图像的提示要求：用于分割伪装物体的单一通用提示 论文：Re 阅读全文

摘要： 标题 HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection HINTED：基于混合密度特征融合的硬实例增强检测器的稀疏 阅读全文

摘要： 标题 Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction 基于特征分解和边缘重构的伪装目标检测 Abstract 伪装目标检测（COD）旨在解决在视觉上识别融入周围背景的伪装目标的难题。由于伪 阅读全文