30 open-source projects similar to arunmallya/piggyback, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Piggyback alternative.
Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
This project is a computer vision benchmark and image classification dataset used to measure and compare the accuracy of machine learning models. It provides a standardized collection of labeled fashion product images and training data formatted to be compatible with the MNIST dataset structure. The dataset consists of fixed-dimension grayscale images and label-based category mappings, stored in a binary format. It includes pre-split training and testing sets and a static distribution to ensure consistent cross-model benchmarking. The repository supports image classification benchmarking and
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
Code implementation for "Continual Semi-Supervised Learning through Contrastive Interpolation Consistency"
Official implementation of "On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning"
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
Angjoo Kanazawa \ , Shubham Tulsiani \ , Alexei A. Efros, Jitendra Malik
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
Project page for End-to-end Recovery of Human Shape and Pose
This repository contains the TensorFlow code for our NeurIPS 2018 paper “Unsupervised Attention-guided Image-to-Image Translation”. This code is based on the TensorFlow implementation of CycleGAN provided by Harry Yang. You may need to train several times as the quality of the results are…
Official implementation of GANimation. In this work we introduce a novel GAN conditioning scheme based on Action Units (AU) annotations, which describe in a continuous manifold the anatomical facial movements defining a human expression. Our approach permits controlling the magnitude of…
Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
Attention-based Deep Multiple Instance Learning
CVPR2018 - pixel embedding & grouping for structured prediction, e.g., instance segmentation
3DMV jointly combines RGB color and geometric information to perform 3D semantic segmentation of RGB-D scans. This work is based on our ECCV'18 paper, 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation.
CVPR'18 ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns
Code for our CVPR 2018 paper: "Synthesizing Images of Humans in Unseen Poses"
Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko
This is the implementation of Hierarchical Long-term Video Prediction without Supervision, to be published in ICML 2018.
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
CVPR 2025 Highlight X-Dyna: Expressive Dynamic Human Image Animation
Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"