Abstract: Transformer-based object detection models usually adopt an encoding-decoding architecture that mainly combines self-attention (SA) and multilayer perceptron (MLP). Although this architecture ...

After a contentious license change and the removal of administrator functionalities from the console, the company behind the ...

Abstract: Estimating the poses of new objects is a challenging problem. Although many methods have been developed for instance-level object pose estimation, they often struggle when faced with ...

This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...

For months now, astronomers have been closely watching the mysterious interstellar object 3I/ATLAS as it rips through the solar system at a breakneck velocity. And before it finally leaves us for good ...

SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...