suki7's starred repositories
LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Embodied-One-Shot-Video-Recognition
The code of paper ACM Multimedia 2019: "Embodied One-Shot Video Recognition: Learning from Actions of a Virtual Embodied Agent"
EveryPixelMatters
Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"
Local-Mid-Propagation
Code for ACM MM Workshop paper "Online Video Object Detection via Local and Mid-Range Feature Propagation"
video_object_detection_paper
update some video object detection papers (视频目标检测论文和代码整理)
Thundernet_Pytorch
Implementation Thundernet
ThunderNet-Review
Real-time generic object detection on mobile platforms is a crucial but challenging computer vision task. However, previous CNN-based detectors suffer from enormous computational cost, which hinders them from real-time inference in computation-constrained scenarios. In this paper, we investigate the effectiveness of two-stage detectors in real-time generic detection and propose a lightweight twostage detector named ThunderNet. In the backbone part, we analyze the drawbacks in previous lightweight backbones and present a lightweight backbone designed for object detection. In the detection part, we exploit an extremely efficient RPN and detection head design. To generate more discriminative feature representation, we design two efficient architecture blocks, Context Enhancement Module and Spatial Attention Module. At last, we investigate the balance between the input resolution, the backbone, and the detection head. Compared with lightweight one-stage detectors, ThunderNet achieves superior performance with only 40% of the computational cost on PASCAL VOC and COCO benchmarks. Without bells and whistles, our model runs at 24.1 fps on an ARM-based device. To the best of our knowledge, this is the first real-time detector reported on ARM platforms. Code will be released for paper reproduction.
mega.pytorch
Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020
cascade-rcnn
Caffe implementation of multiple popular object detection frameworks
mmdetection
OpenMMLab Detection Toolbox and Benchmark
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
PytorchInsight
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
PAN-PyTorch
[Codes of paper]: PAN: Towards Fast Action Recognition via Learning Persistence of Appearance
Fewshot_Detection
Few-shot Object Detection via Feature Reweighting
WSOD_Paper_List
A list of recent WSOD paper
pytorch_MELM
The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection
X-Temporal
A general video understanding codebase from SenseTime X-Lab
filter-grafting
Filter Grafting for Deep Neural Networks(CVPR 2020)
Teacher-Assistant-Knowledge-Distillation
Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf