Official Implementation of paper "CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation"
active 2023-08-25 → 2026-05-18 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 998 days from 2023-08-25 to 2026-05-18. Pushes: 21 total, peak 8 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 8 total, peak 2 in a day. Comments: 15 total, peak 6 in a day. Stars: 28 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| PJLallen | 28 | 18 | 0 | 8 |
| yinyong14 | 4 | 0 | 0 | 4 |
| Jtao0818 | 3 | 3 | 0 | 0 |
| 19970799560 | 3 | 0 | 0 | 2 |
| surelon | 2 | 0 | 0 | 1 |
| pkbeen | 2 | 0 | 0 | 0 |
| NathanaelCat | 1 | 0 | 0 | 0 |
| dreamerYCJ | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#7PJLallen2025-11-03 04:02能否在我们的RGBD数据集上训练
- Issue#6dreamerYCJ2025-02-19 12:56RuntimeError: nvrtc: error: invalid value for --gpu-architecture (-arch)
- Issue comment#4PJLallen2024-11-27 06:40作者你好，从你的论文中我收获很多知识，这是一个很好的工作，请问我要怎么可视化我的分割结果呢？python tools/train_net.py --config-file configs/CalibNet_R50_50e_50q_320size.yaml --num-gpus 1 --eval-only MODEL.WEIGHTS weights/calibnet_r50_50e.pth OUTPUT_DIR output/eval
- Issue comment#4yinyong142024-11-27 06:38作者你好，从你的论文中我收获很多知识，这是一个很好的工作，请问我要怎么可视化我的分割结果呢？python tools/train_net.py --config-file configs/CalibNet_R50_50e_50q_320size.yaml --num-gpus 1 --eval-only MODEL.WEIGHTS weights/calibnet_r50_50e.pth OUTPUT_DIR output/eval
- Issue comment#4yinyong142024-11-27 06:34作者你好，从你的论文中我收获很多知识，这是一个很好的工作，请问我要怎么可视化我的分割结果呢？python tools/train_net.py --config-file configs/CalibNet_R50_50e_50q_320size.yaml --num-gpus 1 --eval-only MODEL.WEIGHTS weights/calibnet_r50_50e.pth OUTPUT_DIR output/eval
- Issue comment#4199707995602024-11-27 06:31作者你好，从你的论文中我收获很多知识，这是一个很好的工作，请问我要怎么可视化我的分割结果呢？python tools/train_net.py --config-file configs/CalibNet_R50_50e_50q_320size.yaml --num-gpus 1 --eval-only MODEL.WEIGHTS weights/calibnet_r50_50e.pth OUTPUT_DIR output/eval
- Issue comment#4yinyong142024-11-27 05:42作者你好，从你的论文中我收获很多知识，这是一个很好的工作，请问我要怎么可视化我的分割结果呢？python tools/train_net.py --config-file configs/CalibNet_R50_50e_50q_320size.yaml --num-gpus 1 --eval-only MODEL.WEIGHTS weights/calibnet_r50_50e.pth OUTPUT_DIR output/eval
- Issue comment#4199707995602024-11-27 01:26作者你好，从你的论文中我收获很多知识，这是一个很好的工作，请问我要怎么可视化我的分割结果呢？python tools/train_net.py --config-file configs/CalibNet_R50_50e_50q_320size.yaml --num-gpus 1 --eval-only MODEL.WEIGHTS weights/calibnet_r50_50e.pth OUTPUT_DIR output/eval
- Issue comment#5PJLallen2024-11-26 18:10Help Needed with Pretrained Weights and Training Convergence
- Issue#5NathanaelCat2024-11-26 15:21Help Needed with Pretrained Weights and Training Convergence
- Issue comment#4yinyong142024-11-26 13:10作者你好，从你的论文中我收获很多知识，这是一个很好的工作，请问我要怎么可视化我的分割结果呢？python tools/train_net.py --config-file configs/CalibNet_R50_50e_50q_320size.yaml --num-gpus 1 --eval-only MODEL.WEIGHTS weights/calibnet_r50_50e.pth OUTPUT_DIR output/eval
- Issue comment#4PJLallen2024-10-13 13:20作者你好，从你的论文中我收获很多知识，这是一个很好的工作，请问我要怎么可视化我的分割结果呢？python tools/train_net.py --config-file configs/CalibNet_R50_50e_50q_320size.yaml --num-gpus 1 --eval-only MODEL.WEIGHTS weights/calibnet_r50_50e.pth OUTPUT_DIR output/eval
- Issue#4199707995602024-10-13 02:58作者你好，从你的论文中我收获很多知识，这是一个很好的工作，请问我要怎么可视化我的分割结果呢？python tools/train_net.py --config-file configs/CalibNet_R50_50e_50q_320size.yaml --num-gpus 1 --eval-only MODEL.WEIGHTS weights/calibnet_r50_50e.pth OUTPUT_DIR output/eval
- Issue#3pkbeen2024-09-02 15:52requirements.txt
- Issue#3pkbeen2024-08-22 16:29requirements.txt
- Issue comment#1PJLallen2024-06-13 05:44about dataset
- Issue comment#1PJLallen2024-06-13 05:44about dataset
- Issue#1PJLallen2024-06-13 05:44about dataset
- Issue#2PJLallen2024-06-13 05:41Communicate, looking forward to getting a reply
- Issue comment#2surelon2024-06-13 03:02Communicate, looking forward to getting a reply
- Issue comment#2PJLallen2024-06-12 05:22Communicate, looking forward to getting a reply
- Issue#2surelon2024-06-09 13:18Communicate, looking forward to getting a reply
- Issue comment#1PJLallen2024-03-10 17:11about dataset
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 28 stars here means stars gained during the window, not the repo's star count.