frank-xwang

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

ControlNet

Let us control diffusion models!

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

ImageBind

ImageBind One Embedding Space to Bind Them All

guided-diffusion

Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

CenterTrack

Simultaneous object detection and tracking using center points.

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

GLIGEN

Open-Set Grounded Text-to-Image Generation

composer

Official implementation of "Composer: Creative and Controllable Image Synthesis with Composable Conditions"

CutLER

Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

PointNeXt

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

x-clip

A concise but complete implementation of CLIP with various experimental improvements from recent papers

omnivore

Omnivore: A Single Model for Many Visual Modalities

LaViLa

Code release for "Learning Video Representations from Large Language Models"

FAN

Official PyTorch implementation of Fully Attentional Networks

BoxInstSeg

A toolbox for box-supervised instance segmentation.

GTR

Global Tracking Transformers, CVPR 2022

dropout

Code release for "Dropout Reduces Underfitting"

HIPIE

[NeurIPS2023] Code release for "Hierarchical Open-vocabulary Universal Image Segmentation"

BatchFormer

CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522

DGM

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

AbSViT

Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)

Generalized-Long-Tailed-Benchmarks.pytorch

[ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute-wise imbalance within each class. The proposed IFL together with other baselines are also included.

leopart

UnsupervisedSelectiveLabeling

[ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning

single-img-extrapolating

Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"

OCLR_model

[NeurIPS 2022] Segmenting Moving Objects via an Object-Centric Representation. Junyu Xie, Weidi Xie, Andrew Zisserman.