Top Tweets for #MMDetection
🥳Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation @ICCVConference #ICCV2023 @xtl994
🤗Paper: https://t.co/NVyRSRzGkc
🤗Code: https://t.co/PXB2Kq8C98
😊Based on #MMDetection
🥳Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation @ICCVConference #ICCV2023 @xtl994
🤗Paper：https://t.co/WnTc2ScChE
🤗Code: https://t.co/sP33Kjmqjd
🥰Based on #MMDetection
🥳The recording of our @ICCVConference tutorial on #MMDetection: from General Object Detection to Multi-modal Agent is now available! #ICCV2023
🤗https://t.co/gewhGiL7r6
🔥 V3Det: Vast Vocabulary Visual Detection Dataset (ICCV 2023 Oral)🔥
🥳 We release an object detection dataset with 💥 13,204 categories.
🛹 The code to train and evaluate V3Det on #MMDetection and #Detectron2 are available.
🎉 Dataset: https://t.co/DytBV1bnbD
🧐 Codebase: https://t.co/mQXQ9Wi2Bz
📄 Paper: https://t.co/0rgiVEpKjC
🔥 V3Det: Vast Vocabulary Visual Detection Dataset (ICCV 2023 Oral)🔥
🥳 We release an object detection dataset with 💥 13,204 categories.
🛹 The code to train and evaluate V3Det on #MMDetection and #Detectron2 are available.
🎉 Dataset: https://t.co/DytBV1bnbD
🧐 Codebase: https://t.co/mQXQ9Wi2Bz
📄 Paper: https://t.co/3cgPbbsshR
🥳#MMDetection v3.2.0 Release!
🤗Detection #Transformer SOTA Model Collection
🥰Comprehensive Performance Comparison between #CNN and Transformer
👉Welcome to try at https://t.co/ybnXl60zsB
🥳Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation @CVPR #CVPR2022
🤗Paper: https://t.co/oGmymmczNR
🤗Code: https://t.co/5axIOYErtx
🥰Based on #MMDetection
🥳Relieving Long-tailed Instance Segmentation via Pairwise Class Balance @CVPR #CVPR2022
🤗Paper: https://t.co/nCMst7WQa7
🤗Code: https://t.co/BpZNqB5vtK
☺️Based on #MMDetection
🥳Detecting Everything in the Open World: Towards Universal Object Detection @CVPR #CVPR2023
🤗Paper: https://t.co/tqz8vkUPPj
🤗Code: https://t.co/ExnlahaFEa
☺️Based on #MMDetection
🥳Streaming Video Model
🤗Based on #MMDetection and #MMTracking
Arxiv：https://t.co/xHWUUlNNnT
Code：https://t.co/RKXCByiynZ
🥰This paper introduces S-ViT, a unified streaming video model that combines frame-based and sequence-based architectures for video understanding tasks.
🥳The recording of our @cvpr tutorial on General Object detection with MMDetection 3.0 is now available! #cvpr2023 #AI #CV #MMDetection
📹https://t.co/WPykzhrkGD
#プログラミング
ずっと手をつけられなかった
#PyTorch
オブジェクト認識を試したく
#MMDetection
をWindowsに構築に苦戦。
作業や会議しながら、
あれこれ、試してインストール完
最後のimportが循環参照と怒られたのは予想外。
楽しいけど時間切れ。
明日の楽しみ。
Our automatic #boatdetection #algorithms rely on the #free & #opensource #mmdetection #pytorch machine learning frameworks, which allow training and inference on different State-of-the-Art object detection algorithms in a easy way.
https://t.co/pb6gj3De3e
I've created a #ROS2 wrap for the #MMDetection from @OpenMMLab.
https://t.co/v1SIFBCq7E
#ObjectDetection #InstanceSegmentation #PanopticSegmentation
Just published a new post on my blog. Check how to combine @DVCorg + @OpenMMLab #mmdetection framework to simply train, monitor and version your object detection @PyTorch models 🔥🦉
https://t.co/I9PvwtnPB5
緊急事態宣言で外出できないのでライブカメラを渡り歩いています。そんな中、渋谷スクランブル交差点のライブカメラの人混みがすごかったので、MMDetectionで物体検出を行い、personの検出数を数えるスクリプトを書いてみました。
#渋谷 #MMDetection #pytorch
https://t.co/ZT3yXWZJVT
NNCF release 1.2 is out! Includes quantization of transformer-based and recurrent networks (BERT, RoBERTa, GNMT) and examples of integration with custom training pipelines (@huggingface transformers and #MMDetection).
Cascade Mask RCNN is the very first neutral network from #MMdetection toolbox featured on my YT channel.
You can watch how it performs on this video:
https://t.co/wYZeopVMek
#MMDetection: Open MMLab Detection Toolbox and Benchmark. We finally finished the report!
Codes for training+inference+200 network models+different modules+tricks!
Report: https://t.co/oUOEemrKPS
GitHub: https://t.co/2b2Vs8ZrOz
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