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CVPR2020 Report
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TensorFlow 2 meets the Object Detection API
https://blog.tensorflow.org/2020/07/tensorflow-2-meets-object-detection-api.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKis9ECId8eIwn_p0SVMBt3a1vfvKOcOZXy6zK0fWoyzXnzQTguKc2CV__6oI1Pwg22NjWsErpDKqjwQdzjilvmqwWkXPj2ncglphh6mAhpoZ_QXQiDwxnwo-GjKEP0fEOb3uBlNlh9sc/s1600/tensorflow2objectdetection.png July 10, 2020 â€” Posted by Vivek Rathod and Jonathan Huang, Google Research At the
KSKSKSKS2 2020/07/12
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KSKSKSKS2 2020/06/18
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Scaling up Anime with Machine Learning and Smart Real Time Algorithms
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Engadget | Technology News & Reviews
A plastic Apple Watch SE may still be happening, but not until next year
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æ—¥æœ¬ãƒãƒœãƒƒãƒˆå¦ä¼š ãƒãƒœãƒƒãƒˆå·¥å¦ã‚»ãƒŸãƒŠãƒ¼ ç¬¬126å›ž ãƒãƒœãƒƒãƒˆã®ãŸã‚ã®ç”»åƒå‡¦ç†æŠ€è¡“ è¬›æ¼”è³‡æ–™ https://www.rsj.or.jp/event/seminar/news/2020/s126.html 2012å¹´ã®ç”»åƒèªè˜ã‚³ãƒ³ãƒšãƒ†ã‚£ã‚·ãƒ§ãƒ³ILSVRCã«ãŠã‘ã‚‹AlexNetã®ç™»å ´ä»¥é™ï¼Œç”»åƒèªè˜ã«ãŠã„ã¦ã¯æ·±å±¤å¦ç¿’ï¼Œãã®ä¸ã§ã‚‚ç‰¹ã«ç•³ã¿è¾¼ã¿ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ (CNN) ã‚’ç”¨ã„ã‚‹ã“ã¨ãŒãƒ‡ãƒ•ã‚¡ã‚¯ãƒˆã‚¹ã‚¿ãƒ³ãƒ€ãƒ¼ãƒ‰ã¨ãªã£ãŸï¼ŽCNNã¯ã‚¯ãƒ©ã‚¹åˆ†é¡žã‚’ã¯ã˜ã‚ã¨ã—ã¦ï¼Œç‰©ä½“æ¤œå‡ºã‚„ã‚»ã‚°ãƒ¡ãƒ³ãƒ†ãƒ¼ã‚·ãƒ§ãƒ³ãªã©æ§˜ã€…ãªã‚¿ã‚¹ã‚¯ã‚’è§£ããŸã‚ã®ãƒ™ãƒ¼ã‚¹ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã¨ã—ã¦åºƒãåˆ©ç”¨ã•ã‚Œã¦ãã¦ã„ã‚‹ï¼Žæœ¬è¬›æ¼”ã§ã¯ï¼ŒCNNã®ç™ºå±•ã‚’æŒ¯ã‚Šè¿”ã‚‹ã¨ã¨ã‚‚ã«ï¼Œã‚¨ãƒƒã‚¸ãƒ‡ãƒã‚¤ã‚¹ã§å‹•ä½œã•ã›ã‚‹éš›ã«é‡è¦ã¨ãªã‚‹é«˜é€ŸåŒ–ç‰ï¼Œé–¢é€£ã™ã‚‹æ·±å±¤å¦ç¿’æŠ€è¡“ã®è§£èª¬ã‚’è¡Œã†ï¼Ž 1. ã‚¯ãƒ©ã‚¹åˆ†é¡žå‘ã‘ãƒ¢ãƒ‡ãƒ«ã«ã¤ã„ã¦ 1.1. ILSVRCã¦ã‚™æŒ¯ã‚Šè¿”ã‚‹é€²åŒ–ã®æ´å² 1.2. ãã®ä»–é‡è¦ãªãƒ¢ãƒ‡ãƒ« 1
KSKSKSKS2 2020/05/22
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ç”»åƒãƒ‡ãƒ¼ã‚¿ã«å¯¾ã™ã‚‹Active learningã®ç¾çŠ¶ã¨ä»Šå¾Œã®å±•æœ› ~æœ€æ–°ã®æ•™å¸«ãªã—å¦ç¿’ã‚’æ·»ãˆã¦~ - ABEJA Tech Blog
1, ã¯ã˜ã‚ã« ã“ã‚“ã«ã¡ã¯, Researcher Intern ã®ä¸é‡Žã§ã™. æ–°åž‹ã‚³ãƒãƒŠã‚¦ã‚¤ãƒ«ã‚¹ãŒä¸–ç•Œä¸ã§çŒ›å¨ã‚’ãµã‚‹ã„ã€å€‹äººã®ç”Ÿæ´»ã‚¹ã‚¿ã‚¤ãƒ«ã®ã¿ãªã‚‰ãšç¤¾ä¼šå…¨ä½“ã«å¤‰é©ãŒè¿«ã‚‰ã‚Œã¦ã„ã‚‹ã®ã‚’æ„Ÿã˜ã¾ã™ã€‚ åŒ»ç™‚å¾“äº‹è€…ã®æ–¹ã€…ã«ã¯é ãŒä¸ŠãŒã‚Šã¾ã›ã‚“ãŒ, æ©Ÿæ¢°å¦ç¿’ã®ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã§ã‚‚Kaggleã®ã‚³ãƒ³ãƒš, SIGNATEã®ã‚³ãƒ³ãƒšç‰, ãªã‚“ã¨ã‹çŠ¶æ³ã®æ”¹å–„ã«è²¢çŒ®ã—ã‚ˆã†ã¨ã„ã†å‹•ããŒè¦‹ã‚‰ã‚Œã¾ã™. ã“ã®ã‚ˆã†ãªç›´è¿‘ã®ä¾‹ã«ã‚‚è¦‹ã‚‰ã‚Œã‚‹ã‚ˆã†ã«, æ©Ÿæ¢°å¦ç¿’ã¯ãƒ‡ãƒ¼ã‚¿ã‚’æ‰±ã†ã‚ã‚‰ã‚†ã‚‹åˆ†é‡Žã§ã®å¿œç”¨ãŒè€ƒãˆã‚‰ã‚Œã¾ã™. è‡ªåˆ†ã‚‚, å¤§å¦ã§ã®å°‚æ”»ã¯ç‰©è³ªãƒ—ãƒã‚»ã‚¹å·¥å¦ï¼ˆææ–™å·¥å¦ç³»ï¼‰ãªã®ã§ã™ãŒ, ææ–™å·¥å¦ã«æ©Ÿæ¢°å¦ç¿’ã‚’å¿œç”¨ã™ã‚‹ãƒžãƒ†ãƒªã‚¢ãƒ«ã‚ºã‚¤ãƒ³ãƒ•ã‚©ãƒžãƒ†ã‚£ã‚¯ã‚¹ã¨ã„ã†åˆ†é‡Žã§ã®ç ”ç©¶ã‚’è¡Œã£ã¦ã„ã¾ã™. è»½ãå†…å®¹ã‚’ç´¹ä»‹ã•ã›ã¦ã„ãŸã ãã¨, ç ”ç©¶ã§ã¯æ–°ç´ æã®è£½é€ ãƒ—ãƒã‚»ã‚¹ã‚’, ã‚¬ã‚¦ã‚¹éŽç¨‹å›žå¸°ã«åŸºã¥ã„ãŸActive Learning ã‚¢ãƒ—ãƒãƒ¼ãƒã‚’ç”¨ã„ã¦, ä½Žã‚³ã‚¹ãƒˆã‹ã¤é«˜é€Ÿã«æœ€é©
KSKSKSKS2 2020/05/13
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GitHub - microsoft/VoTT: Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
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KSKSKSKS2 2018/02/10
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AVA: A Video Dataset of Atomic Visual Action
AVA is a project that provides audiovisual annotations of video for improving our understanding of human activity. Each of the video clips has been exhaustively annotated by human annotators, and together they represent a rich variety of scenes, recording conditions, and expressions of human activity. We provide the following annotations. AVA-Kinetics, our latest release, is a crossover between th
KSKSKSKS2 2017/12/23
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Moments in Time
Moments in Time Dataset A large-scale dataset for recognizing and understanding action in videos Moments is a research project dedicated to building a very large-scale dataset to help AI systems recognize and understand actions and events in videos. Today, the dataset includes a collection of one million labeled 3 second videos, involving people, animals, objects or natural phenomena, that capture
KSKSKSKS2 2017/12/09
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GitHub - visipedia/inat_comp: iNaturalist competition details
KSKSKSKS2 2017/07/29
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DFAUST
Abstract While the ready availability of 3D scan data has influenced research throughout computer vision, less attention has focused on 4D data; that is 3D scans of moving non-rigid objects, captured over time. To be useful for vision research, such 4D scans need to be registered, or aligned, to a common topology. Consequently, extending mesh registration methods to 4D is important. Unfortunately,
KSKSKSKS2 2017/07/18
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GitHub - nightrome/cocostuff: The official homepage of the COCO-Stuff dataset.
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KSKSKSKS2 2017/07/09
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KSKSKSKS2 2017/06/25
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GitHub - googlecreativelab/quickdraw-dataset: Documentation on how to access and use the Quick, Draw! Dataset.
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KSKSKSKS2 2017/05/19
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GitHub - CMU-Perceptual-Computing-Lab/openpose: OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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KSKSKSKS2 2017/05/13
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$k$ã¯å®šæ•°ã§ã€ã ã„ãŸã„0.04~0.06ãã‚‰ã„ã§ã™ã€‚Rã®å€¤ã«ã‚ˆã£ã¦ä»¥ä¸‹ã®ã‚ˆã†ã«åˆ†é¡žã§ãã¾ã™ã€‚ RãŒå¤§ãã„: corner RãŒå°ã•ã„: flat R < 0: edge å›³ã«ã™ã‚‹ã¨ã€ä»¥ä¸‹ã®ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚ CSE/EE486 Computer Vision I, Lecture 06, Corner Detection, p22 ã“ã‚Œã§æ‰‹æ—©ãcornerã‚’æ¤œå‡ºã§ãã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã—ãŸã€‚ã“ã“ã§ã€corneræ¤œå‡ºã«ã¤ã„ã¦ã¾ã¨ã‚ã¦ãŠãã¾ã™ã€‚ cornerã¯è¤‡æ•°ã®edgeãŒé›†ã¾ã‚‹ç®‡æ‰€ã¨å®šç¾©ã§ãã‚‹ å¤‰åŒ–é‡ã‚’ã¾ã¨ã‚ãŸè¡Œåˆ—ã®å›ºæœ‰ãƒ™ã‚¯ãƒˆãƒ«ã‹ã‚‰edgeã®å‘ãã€å›ºæœ‰å€¤ã®å¤§ãã•ã‹ã‚‰å¤‰åŒ–é‡ã®å¤§ãã•(edgeã‚‰ã—ã•)ãŒã‚ã‹ã‚‹ 2ã¤ã®å›ºæœ‰å€¤ã®å€¤ã‚’åŸºã«ã€edgeã€cornerã€flatã‚’åˆ¤å®šã§ãã‚‹ å›ºæœ‰å€¤ã®è¨ˆç®—ã¯æ‰‹é–“ã§ã‚ã‚‹ãŸã‚ã€åˆ¤å®šå¼ã‚’åˆ©ç”¨ã—è¨ˆç®—ã‚’ç°¡ç•¥åŒ–ã™ã‚‹ ãªãŠã€Harrisã¯edgeã®å‘ãã§ã‚ã‚‹å›ºæœ‰ãƒ™ã‚¯ãƒˆãƒ«ã‚’è€ƒæ…®ã™
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DeepFashion Database
News 2022-06-01 We release the DeepFashion-MultiModal dataset with rich multi-modal annotations, including manually annotated human parsing labels, manually annotated human keypoints, manually annotated fine-grained labels and textual descriptions. 2020-05-04 Parsing mask annotations and dense pose annotations have been added to â€œIn-shop Clothes Retrieval Benchmarkâ€. Fine-grained attribute annotat
KSKSKSKS2 2017/03/12
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CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Abstract When building artificial intelligence systems that can reason and answer questions about visual data, we need diagnostic tests to analyze our progress and discover shortcomings. Existing benchmarks for visual question answering can help, but have strong biases that models can exploit to correctly answer
KSKSKSKS2 2017/02/18
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YouTube-BB Dataset | Google Research
YouTube-BoundingBoxes is a large-scale data set of video URLs with densely-sampled high-quality single-object bounding box annotations. The data set consists of approximately 380,000 15-20s video segments extracted from 240,000 different publ icly visible YouTube videos, automatically selected to feature objects in natural settings without editing or post-processing, with a recording quality often
KSKSKSKS2 2017/02/18
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