BCNet
yolov7_d2
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| BCNet | yolov7_d2 | |
|---|---|---|
| 1 | 4 | |
| 509 | 3,130 | |
| - | - | |
| 3.0 | 0.0 | |
| 11 months ago | 5 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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BCNet
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[CVPR2021] Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers
github: https://github.com/lkeab/BCNet
yolov7_d2
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YOLOv7: Trainable Bag-of-Freebies
Especially hilarious considering some other people ALSO jumped on the "we made an object detector so let's call it YOLOvX" wagon and released...
Something called YOLOv7.
https://github.com/jinfagang/yolov7
- YOLOv7: YOLO with Transformers and Instance Segmentation
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How to Train YOLOv6 on a Custom Dataset
You're 9 months late https://github.com/jinfagang/yolov7
- YOLOv6: Redefine state-of-the-art for object detection
What are some alternatives?
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
mmdetection - OpenMMLab Detection Toolbox and Benchmark
edgetpu-yolo - Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
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.
YOLOv4 - Port of YOLOv4 to C# + TensorFlow
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
yolact - A simple, fully convolutional model for real-time instance segmentation.
AdelaiDet - AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
CATNet - 🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2023)