visinf/semantic_lattice

Stars
5
Rank 2,861,937 (Top 57 %)
Language
Python
License
Apache License 2.0
Created about 5 years ago
Updated almost 2 years ago

visinf/semantic_lattice

visinf

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Semantic Lattice (GCPR 2019)

1-stage-wseg

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

n3net

Neural Nearest Neighbors Networks (NIPS*2018)

self-mono-sf

Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)

irr

Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation (CVPR 2019)

dense-ulearn-vos

Dense Unsupervised Learning for Video Segmentation (NeurIPS*2021)

da-sac

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)

dpp

Detail-Preserving Pooling in Deep Networks (CVPR 2018)

multi-mono-sf

Self-Supervised Multi-Frame Monocular Scene Flow (CVPR 2021)

ppac_refinement

Probabilistic Pixel-Adaptive Refinement Networks (CVPR 2020)

cos-cvae

Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)

Jupyter Notebook

lnfmm

Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)

adapter_plus

[CVPR 2024] Official implementation of "Adapters Strike Back"

cad

Content-Adaptive Downsampling in Convolutional Neural Networks (CVPR 2023 Workshop on Efficient Deep Learning for Computer Vision)

veto

Vision Relation Transformer for Unbiased Scene Graph Generation (ICCV 2023)

Jupyter Notebook

funnybirds

FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)

acis

Actor-Critic Instance Segmentation (CVPR 2019)

deblur-devil

Deep Video Deblurring: The Devil is in the Details (ICCV Workshop 2019)

self-adaptive

Semantic Self-adaptation: Enhancing Generalization with a Single Sample

fast-axiomatic-attribution

Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)

Jupyter Notebook

mar-scf

Normalizing Flows with Multi-Scale Autoregressive Priors (CVPR 2020)

funnybirds-framework

FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)

fldr-vfi

Efficient Feature Extraction for High-resolution Video Frame Interpolation (BMVC 2022)

primaps

pixelpyramids

PixelPyramids: Exact Inference Models from Lossless Image Pyramids (ICCV 2021)

s2-flow

S2-Flow: Joint Semantic and Style Editing of Facial Images (BMVC 2022)

style-seqcvae

Diverse Image Captioning with Grounded Style (GCPR 2021)

jwae

Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings (ICCV 2019 Workshop on Cross-Modal Learning in Real World)

probflow

ProbFlow: Joint Optical Flow and Uncertainty Estimation (ICCV 2017)

DIAGen

DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning (GCPR 2024)

benchmarking-synthetic-clones

Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images (CVPRW 2024)

svigl

Stochastic Variational Inference with Gradient Linearization (CVPR 2018)

playing-for-data

Playing for data: Ground Truth from Computer Games (ECCV 2016)

mirrorflow

MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation (ICCV 2017)

matryoshka

Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers