This issue is be used to keep track of the roadmap of TorchVision and get feedback from our users.

For the 2021-H2 roadmap, please see #4187

• Streamlined data pipelines:
  • Improved io.image with new supported types and conversions (Extend the supported types of decodePNG #2984, Support specifying output channels in io.image.read_image #2988, Add support of mode and remove channels #3024, Check num of channels on adjust_* transformations #3069)
  • Add Auto-augment input transformation (Implement all AutoAugment transforms + Policies #3123)
  • Add preset preprocessing transforms on pretrained models (Adding Preset Transforms in reference scripts #3317)
  • Add GPU/CUDA ops for image decoding (jpeg) (Support for decoding jpegs on GPU with nvjpeg #3792)
  • Add and optimize native uint8 support for interpolate in PyTorch
• Mobile support:
  • Refactor C++ codebase & make it mobile-friendly (Static Analysis corrections on DeformConv #2885, Static Analysis corrections on image/  #2891, Static Analysis corrections on *ROIAlign #2892, Static Analysis corrections on c++ model classes #2893, Define all C++ model constructors explicit #2944, Replacing C-style typedefs with aliases. #2945, Removing python headers and Win32 Python2 inits in C++ #3011, Encapsulate and Standardise C++ Ops #3097, Per file C++ Operator registration #3135, Per file C++ Operator registration #3135, Restructuring C++ project #3146, [BC-breaking] Remove _new_empty_tensor op #3156, Move autograd implementations on separate files. #3154, Removing VISION_API from backward() methods and adding an ops.h #3163, Add Torch Selective macros in all C++ Ops for better support on mobile #3218, Restructure the video/video_reader C++ codebase #3311, Add namespace on image C++ codebase #3312)
  • Add mobile-ready models for detection (Add MobileNetV3 architecture for Detection #3253, Add High-res FasterRCNN MobileNetV3 and tune Low-res for speed #3265, Add SSD architecture with VGG16 backbone #3403, Add SSDlite architecture with MobileNetV3 backbones #3757, Add SSD512 with ResNet50 backbone #3760)
  • Add mobile-ready models for segmentation (Add MobileNetV3 architecture for Segmentation #3276)
  • Support D2Go OSS
  • Add quint8 implementations for nms and RoIAlign (Add quantized version of nms #3601, Add Quantized version of RoIAlign #3624)
  • Rotated Boxes ([RFC] Rotated Bounding Boxes #2761) (moved to 2022H2 TorchVision Roadmap - 2021 H2 #4187)
• Add newer models for classification:
  • MobileNetV3 (Add MobileNetV3 architecture for Classification #3252, Adding MobileNetV3 Small pre-trained model #3354)
  • MobileNetV3 Quantized (Add Quantizable MobilenetV3 architecture for Classification #3323)