From eb5f1663ed0743660b8aa749a43f35f505baa325 Mon Sep 17 00:00:00 2001 From: "Kin-Yiu, Wong" <102582011@cc.ncu.edu.tw> Date: Mon, 1 Nov 2021 11:24:20 +0800 Subject: [PATCH] Update README.md --- README.md | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 3ed8c1e1..28917627 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,17 @@ This is PyTorch implementation of [YOLOv4](https://github.com/AlexeyAB/darknet)
Expand -* `2021-08-21` - support simOTA in [yolox](https://arxiv.org/abs/2107.08430). +* `2021-10-31` - support [RS loss](https://arxiv.org/abs/2107.11669), [aLRP loss](https://arxiv.org/abs/2009.13592), [AP loss](https://arxiv.org/abs/2008.07294). +* `2021-10-30` - support [alpha IoU](https://arxiv.org/abs/2110.13675). +* `2021-10-20` - design resolution calibration methods. +* `2021-10-15` - support joint detection, instance segmentation, and semantic segmentation. [`seg-yolo`]() +* `2021-10-13` - design ratio yolo. +* `2021-09-22` - pytorch 1.9 compatibility. +* `2021-09-21` - support [DIM](https://arxiv.org/abs/1808.06670). +* `2021-09-16` - support [Dynamic Head](https://arxiv.org/abs/2106.08322). +* `2021-08-28` - design domain adaptive training. +* `2021-08-22` - design re-balance models. +* `2021-08-21` - support [simOTA](https://arxiv.org/abs/2107.08430). * `2021-08-14` - design approximation-based methods. * `2021-07-27` - design new decoders. * `2021-07-22` - support 1) decoupled head, 2) anchor-free, and 3) multi positives in [yolox](https://arxiv.org/abs/2107.08430).