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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tosshero/3d_perception
Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset
https://github.com/tossy0423/darknet_ros
https://github.com/touchjet/re3-tensorflow
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
https://github.com/touchylk/fcoseccv
https://github.com/toufiksk/darknet
https://github.com/touristCheng/Learning2Regrasp
https://github.com/trailab/hypermodest
Learning to Detect Mobile Objects from LiDAR Scans Without Labels
https://github.com/travismyers19/Vulnerable_Buildings
https://github.com/trhgu/awesome-fashion-contents
https://github.com/trongnghia00/darknet
https://github.com/trsvchn/deep-textures
https://github.com/true-source/m2det-tf
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
https://github.com/tryolabs/luminoth
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/tsbiosky/Cascade-point-rcnn
https://github.com/tsing-cv/DetNet
https://github.com/tsunekoromochi/ssd
https://github.com/ttaa9/genren
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
https://github.com/ttchengab/zest_code
https://github.com/tteepe/CenterNet-pytorch-lightning
https://github.com/tuananh1007/Faster-R-CNN-and-Mask-R-CNN-in-PyTorch-1.0
https://github.com/tum-traffic-dataset/coopdet3d
https://github.com/tusen-ai/simpletrack
SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
https://github.com/tyler-hayes/embedded-cl
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
https://github.com/tyolm/groupfree3d_mindspore
https://github.com/tyomj/product_detection
https://github.com/ubc-vision/DwNet
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/ubc-vision/attribute-guided-image-generation-from-layout
https://github.com/uchile-robotics-forks/darknet_ros
https://github.com/uiuc-robovision/hands-as-probes
https://github.com/ukachyuthan/Rewards_in_RL
https://github.com/ultralytics/ultralytics
https://github.com/ultralytics/xview-yolov3
https://github.com/um-arm-lab/pytorch_mppi
https://github.com/umautobots/failing-to-learn
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
https://github.com/umitkacar/ai-edge-computing
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.