Github:
https://github.com/OlafenwaMoses/DeepStack_ExDark
Documentation:
https://docs.deepstack.cc/index.html#installation
Custom dataset preparation:
https://docs.deepstack.cc/custom-models/datasetprep/index.html
Training custom model:
https://docs.deepstack.cc/custom-models/training/index.html
https://github.com/OlafenwaMoses/DeepStack_ExDark
Documentation:
https://docs.deepstack.cc/index.html#installation
Custom dataset preparation:
https://docs.deepstack.cc/custom-models/datasetprep/index.html
Training custom model:
https://docs.deepstack.cc/custom-models/training/index.html
GitHub
GitHub - OlafenwaMoses/DeepStack_ExDark: A DeepStack custom model for detecting common objects in dark/night images and videos.
A DeepStack custom model for detecting common objects in dark/night images and videos. - OlafenwaMoses/DeepStack_ExDark
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500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
GitHub
GitHub - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code: 500 AI Machine learning Deep…
500 AI Machine learning Deep learning Computer vision NLP Projects with code - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
👍18
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Synthesizing Light Field From a Single Image with Variable MPI and Two Network Fusion
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Paper:
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/resource/SIGGRAPH_2020_Light_Field_Authors_version.pdf
Code:
https://github.com/Turmac/light_field_synthesis
Project page:
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/index.html
Dataset:
https://drive.google.com/file/d/1oHywOJAAYm8YrSH5mDubjTAwN8jrCC9y/view
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/resource/SIGGRAPH_2020_Light_Field_Authors_version.pdf
Code:
https://github.com/Turmac/light_field_synthesis
Project page:
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/index.html
Dataset:
https://drive.google.com/file/d/1oHywOJAAYm8YrSH5mDubjTAwN8jrCC9y/view
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All Open Access Papers:
https://openaccess.thecvf.com/CVPR2021
https://openaccess.thecvf.com/CVPR2021
👍6
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From Google and Waymo researchers: The self-/unsupervised revolution is near! Unsupervised optical flow model SMURF improves SOTA by 40% and beats many supervised methods such as PWC-Net and FlowNet2
👉 @computer_science_and_programming
👉 @computer_science_and_programming
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SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
Paper:
https://arxiv.org/pdf/2105.07014.pdf
Video:
https://www.youtube.com/watch?v=W7NCbfZp6QE
Code:
https://github.com/google-research/google-research/tree/master/smurf
👉 @computer_science_and_programming
Paper:
https://arxiv.org/pdf/2105.07014.pdf
Video:
https://www.youtube.com/watch?v=W7NCbfZp6QE
Code:
https://github.com/google-research/google-research/tree/master/smurf
👉 @computer_science_and_programming
👍10
A simpler design but better performance! It aims to bridge the gap between research and industrial communities.
Paper:
https://arxiv.org/pdf/2107.08430v1.pdf
Github:
https://github.com/Megvii-BaseDetection/YOLOX
👉@computer_science_and_programming
Paper:
https://arxiv.org/pdf/2107.08430v1.pdf
Github:
https://github.com/Megvii-BaseDetection/YOLOX
👉@computer_science_and_programming
👍13
Practical image restoration
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
👉@computer_science_and_programming
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
👉@computer_science_and_programming
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Paper:
https://arxiv.org/pdf/2103.14030.pdf
Github:
https://github.com/SwinTransformer/Swin-Transformer-Object-Detection
Demo:
https://www.youtube.com/watch?v=FQVS_0Bja6o
👉@computer_science_and_programming
https://arxiv.org/pdf/2103.14030.pdf
Github:
https://github.com/SwinTransformer/Swin-Transformer-Object-Detection
Demo:
https://www.youtube.com/watch?v=FQVS_0Bja6o
👉@computer_science_and_programming
GitHub
GitHub - SwinTransformer/Swin-Transformer-Object-Detection: This is an official implementation for "Swin Transformer: Hierarchical…
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation. - SwinTransformer/S...
👍16
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Now removing, duplicating or enhancing objects in video is more realistic with the assist of AI
"We need to talk about the car in the room."
This paper: what car? 🙈
"We need to talk about the car in the room."
This paper: what car? 🙈
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