HASSOD
Object detector
Develops a neural network architecture for object detection and instance segmentation without labeled data
[NeurIPS 2023] HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
52 stars
2 watching
3 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A deep learning-based object detection system from scratch | 706 |
| Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
| A deep learning model that uses 3D point cloud data to improve the precision of single-stage object detection in autonomous vehicles. | 492 |
| A Python implementation of a salient object detection algorithm utilizing RGB-D data | 45 |
| Re-implementation of an object detection algorithm described in the ECCV 2014 paper Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. | 364 |
| A deep learning framework for object detection tasks using a novel neural network architecture | 355 |
| Improving Object Detection from Scratch via Gated Feature Reuse | 65 |
| An approach to reduce object hallucinations in large vision-language models by contrasting output distributions derived from original and distorted visual inputs | 222 |
| An implementation of the Deep Supervised Object Detector from scratch using PyTorch. | 70 |
| This software implementation contains pre-computed saliency maps and source code for a high-resolution salient object detection algorithm. | 69 |
| A Matlab implementation of simultaneous object detection and segmentation using deep learning techniques. | 96 |
| A software framework implementing an alignment-free RGBT salient object detection algorithm using a semantics-guided asymmetric correlation network | 10 |
| An implementation of RGB-D saliency detection using a cascaded mutual information minimization approach | 59 |
| An implementation of a unified framework for object detection using a single network. | 109 |
| An implementation of instance-level salient object segmentation using the MSRNet architecture | 9 |