![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1561912%2F46b12bb965943aeca78b6e1336a0dadb%2FDeepinScreenshot_select-area_20200507102331.png?generation=1588818258057877&alt=media\")
overview \n- Object Detection in 20 Years: A Survey\nhttps://arxiv.org/pdf/1905.05055.pdf
\n\ntricks\n- Bag of Freebies for Training Object Detection Neural Networks\nhttps://arxiv.org/abs/1902.04103\n- MMDetection: Open MMLab Detection Toolbox and Benchmark\nhttps://arxiv.org/pdf/1906.07155.pdf
\n\nSTOA models
\n- YOLOv4: Optimal Speed and Accuracy of Object Detection\nhttps://arxiv.org/pdf/2004.10934v1.pdf
\n- Cascade R-CNN: Delving into High Quality Object Detection\nhttps://arxiv.org/abs/1712.00726\n- EfficientDet: Scalable and Efficient Object Detection\nhttps://paperswithcode.com/paper/efficientdet-scalable-and-efficient-object\n- (Cascade Mask R-CNN)CBNet: A Novel Composite Backbone Network Architecture for Object Detection\nhttps://paperswithcode.com/paper/cbnet-a-novel-composite-backbone-network\nHope this help someone for this match, if you find any valuable papers, you're welcome to share with us.
overview \n- Object Detection in 20 Years: A Survey\nhttps://arxiv.org/pdf/1905.05055.pdf
\n\ntricks\n- Bag of Freebies for Training Object Detection Neural Networks\nhttps://arxiv.org/abs/1902.04103\n- MMDetection: Open MMLab Detection Toolbox and Benchmark\nhttps://arxiv.org/pdf/1906.07155.pdf
\n\nSTOA models
\n- YOLOv4: Optimal Speed and Accuracy of Object Detection\nhttps://arxiv.org/pdf/2004.10934v1.pdf
\n- Cascade R-CNN: Delving into High Quality Object Detection\nhttps://arxiv.org/abs/1712.00726\n- EfficientDet: Scalable and Efficient Object Detection\nhttps://paperswithcode.com/paper/efficientdet-scalable-and-efficient-object\n- (Cascade Mask R-CNN)CBNet: A Novel Composite Backbone Network Architecture for Object Detection\nhttps://paperswithcode.com/paper/cbnet-a-novel-composite-backbone-network\nHope this help someone for this match, if you find any valuable papers, you're welcome to share with us.
Object Detection in 20 Years: A Survey\nhttps://arxiv.org/pdf/1905.05055.pdf
\n\n
What an interesting project. Excellent work. What was your biggest challenge with this project?
", "rawMarkdown": "What an interesting project. Excellent work. What was your biggest challenge with this project?", "votes": 1 }, { "id": 837771, "postDate": "2020-05-08T03:18:37.810Z", "content": "[STOA models]\nEfficientDet: Scalable and Efficient Object Detection\nhttps://paperswithcode.com/paper/efficientdet-scalable-and-efficient-object
", "rawMarkdown": "**[STOA models]**\nEfficientDet: Scalable and Efficient Object Detection\nhttps://paperswithcode.com/paper/efficientdet-scalable-and-efficient-object" }, { "id": 837770, "postDate": "2020-05-08T03:17:29.127Z", "content": "[STOA models]\n(Cascade Mask R-CNN)CBNet: A Novel Composite Backbone Network Architecture for Object Detection
\nhttps://paperswithcode.com/paper/cbnet-a-novel-composite-backbone-network
Thanks for the information
", "rawMarkdown": "Thanks for the information" }, { "id": 836479, "postDate": "2020-05-07T02:50:17.853Z", "content": "Thanks for sharing
", "rawMarkdown": "Thanks for sharing\n" } ], "comments": [ { "id": 836461, "author_name": "Bryce1010", "author_url": "", "post_date": "2020-05-07T02:24:22.513000", "content": "Object Detection in 20 Years: A Survey\nhttps://arxiv.org/pdf/1905.05055.pdf
\n\n
What an interesting project. Excellent work. What was your biggest challenge with this project?
", "votes": 1, "replies": [] }, { "id": 837771, "author_name": "Bryce1010", "author_url": "", "post_date": "2020-05-08T03:18:37.810000", "content": "[STOA models]\nEfficientDet: Scalable and Efficient Object Detection\nhttps://paperswithcode.com/paper/efficientdet-scalable-and-efficient-object
", "votes": 0, "replies": [] }, { "id": 837770, "author_name": "Bryce1010", "author_url": "", "post_date": "2020-05-08T03:17:29.127000", "content": "[STOA models]\n(Cascade Mask R-CNN)CBNet: A Novel Composite Backbone Network Architecture for Object Detection
\nhttps://paperswithcode.com/paper/cbnet-a-novel-composite-backbone-network
Thanks for the information
", "votes": 0, "replies": [] }, { "id": 836479, "author_name": "Aravindh KV123", "author_url": "", "post_date": "2020-05-07T02:50:17.853000", "content": "Thanks for sharing
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "836457": "**overview** \n- Object Detection in 20 Years: A Survey\nhttps://arxiv.org/pdf/1905.05055.pdf\n\n\n**tricks**\n- Bag of Freebies for Training Object Detection Neural Networks\nhttps://arxiv.org/abs/1902.04103\n- MMDetection: Open MMLab Detection Toolbox and Benchmark\nhttps://arxiv.org/pdf/1906.07155.pdf\n\n\n**STOA models** \n- YOLOv4: Optimal Speed and Accuracy of Object Detection\nhttps://arxiv.org/pdf/2004.10934v1.pdf \n- Cascade R-CNN: Delving into High Quality Object Detection\nhttps://arxiv.org/abs/1712.00726\n- EfficientDet: Scalable and Efficient Object Detection\nhttps://paperswithcode.com/paper/efficientdet-scalable-and-efficient-object\n- (Cascade Mask R-CNN)CBNet: A Novel Composite Backbone Network Architecture for Object Detection\nhttps://paperswithcode.com/paper/cbnet-a-novel-composite-backbone-network\nHope this help someone for this match, if you find any valuable papers, you're welcome to share with us. ", "836461": "Object Detection in 20 Years: A Survey\nhttps://arxiv.org/pdf/1905.05055.pdf\n\n\n", "836996": "What an interesting project. Excellent work. What was your biggest challenge with this project?", "837771": "**[STOA models]**\nEfficientDet: Scalable and Efficient Object Detection\nhttps://paperswithcode.com/paper/efficientdet-scalable-and-efficient-object", "837770": "[**STOA models**]\n(Cascade Mask R-CNN)CBNet: A Novel Composite Backbone Network Architecture for Object Detection \nhttps://paperswithcode.com/paper/cbnet-a-novel-composite-backbone-network", "914427": "", "837266": "", "838192": "Thanks for the information", "836479": "Thanks for sharing\n" } }