involution
BCNet
| involution | BCNet | |
|---|---|---|
| 6 | 1 | |
| 1,306 | 510 | |
| - | - | |
| 0.0 | 3.0 | |
| almost 3 years ago | 11 months ago | |
| Python | Python | |
| MIT License | MIT License |
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involution
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[R] Involution: Inverting the Inherence of Convolution for Visual Recognition
PDF Link | Landing Page | Read as web page on arXiv Vanity
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[P] PyTorch Involution layer wrapper
Have you benchmarked it against the official implementations? Would be interesting to see what the difference is versus their CUDA version.
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[D] Paper Explained - Involution: Inverting the Inherence of Convolution for Visual Recognition (Full Video Analysis)
Code: https://github.com/d-li14/involution
BCNet
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[CVPR2021] Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers
github: https://github.com/lkeab/BCNet
What are some alternatives?
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
mmdetection - OpenMMLab Detection Toolbox and Benchmark
Im2Vec - [CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
yolact_edge - The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
unilm - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
manydepth - [CVPR 2021] Self-supervised depth estimation from short sequences
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.