Joseph K J

OWOD. (CVPR 2021 Oral) Open World Object Detection

Awesome-Novel-Class-Discovery. A list of papers that studies Novel Class Discovery

Awesome-Layout-Generators. An awesome list of layout generation papers

iOD. (TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning

ELI. (CVPR 2022) Energy-based Latent Aligner for Incremental Learning

SDD-Utils. A couple of utilities that can be used with Stanford Drone Dataset

merlin. (NeurIPS 2020) Meta-Consolidation for Continual Learning

PyTorch-MAML-and-Reptile. MAML and Reptile sine wave regression example in PyTorch

PythonBayesianPrediction. Here we are going to evaluate the posterior using MCMC and use it to make Bayesian Prediction.

DistillGAN. (ICML-W, 2018) Text to image synthesis, by distilling concepts from multiple captions.

MASON. (ECCV-W 2018) Segmentations using MASON

Awesome-Mixup. A repository to host recent papers on Manifold Mixup.

Continual-Learning-101. A repo illustrating the basics of Continual Learning.

DeepLab. DeepLab Fork from Liang-Chieh Chen's BitBucket DeepLab

AnnotationEnhancer. A mechanism to automatically remove the false positive annotations and make the bounding boxes even tighter on Stanford Drone Dataset

UNO. Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)

Awesome_Prompting_Papers_in_Computer_Vision. A curated list of prompt-based paper in computer vision and vision-language learning.

sefa. [CVPR 2021] Closed-Form Factorization of Latent Semantics in GANs

awesome-diffusion-categorized. collection of diffusion model papers categorized by their subareas

multimodal-prompt-learning. Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

SRCNN-keras. Python

progressive-gan-pytorch. Implemetatin of Progressive Growing of GANs in PyTorch

SRCNN-Tensorflow. Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

Awesome-Visual-Transformer. Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

object-proposals. Repository containing wrapper to obtain various object proposals easily

Deformable-ConvNets. Deformable Convolutional Networks

Awesome-Incremental-Learning. Awesome Incremental Learning

class-incremental-learning. PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)