Pinned Repositories
Adversarial-Alignment
Scaling-up deep neural networks to improve their performance on ImageNet makes them more tolerant to adversarial attacks, but successful attacks on these models are misaligned with human perception.
color_hmax
Hmax color
CVR
A Benchmark for Efficient and Compositional Visual Reasoning
diversity_vs_recognizability
Harmonization
👋 Aligning Human & Machine Vision using explainability
hgru-pytorch
hGRU implemented in Pytorch
hgru_share
Horama
Lens
LENS Project
VPT
Dataset for visual perspective taking
Serre Lab's Repositories
serre-lab/Harmonization
👋 Aligning Human & Machine Vision using explainability
serre-lab/Lens
LENS Project
serre-lab/CVR
A Benchmark for Efficient and Compositional Visual Reasoning
serre-lab/Adversarial-Alignment
Scaling-up deep neural networks to improve their performance on ImageNet makes them more tolerant to adversarial attacks, but successful attacks on these models are misaligned with human perception.
serre-lab/Horama
serre-lab/VPT
Dataset for visual perspective taking
serre-lab/Craft-Vision
serre-lab/diffusion_as_artist
serre-lab/Warped
Personal toolbox for image Warping
serre-lab/gammanet_pytorch
serre-lab/Loupe
serre-lab/neural_harmonizer
Oficial implementation of the paper Performance-optimized DNNs are evolving into worse models of inferotemporal visual cortex
serre-lab/MaCo
MaCo Feature Visualization
serre-lab/rnn_rts
Computing human-like reaction times from stable recurrent vision models
serre-lab/rnn_rts_site
serre-lab/brain-score-clps1291
EDIT: Compatible with Python 3.10! A framework for evaluating models on their alignment to brain and behavioral measurements (50+ benchmarks)
serre-lab/brownUnconference
serre-lab/DVNet
A model with combined dorsal and ventral stream tasks
serre-lab/feature_tracker
serre-lab/FORGrad
Enhancing attribution methods by filtering the noise out of the explanations
serre-lab/fossils_lens
LeafLineage: Tracing Fossil Ancestry
serre-lab/GANalyze
Implementation of GANalyze, a framework for studying cognitive properties such as memorability, aesthetics, and emotional valence using genenerative models.
serre-lab/imagenet-harmonization-pytorch
serre-lab/LatentMatters
serre-lab/NeuralHarmonizer
serre-lab/prj_depth
Discriminative and generative depth perception models.
serre-lab/prj_fossils_xai
serre-lab/serre-lab.github.io
Blank webpage that redirects to lab website
serre-lab/timm_imagenet_finetuning
A PyTorch script for finetuning Timm models on ImageNet
serre-lab/timm_tpu
Setting up a pipeline for training timm models on tpu, multigpu and tpu.