Second Brain

Tag: vit

45 items with this tag.

Jul 18, 2025
Franca - Nested Matryoshka Clustering for Scalable Visual Representation Learning
Jun 01, 2025
Self-supervised learning of intertwined content and positional features for object detection
- vit
- ssl
Mar 11, 2025
Principal Components Enable A New Language of Images
Feb 19, 2025
FlexTok - Resampling Images into 1D Token Sequences of Flexible Length
Feb 14, 2025
Simplifying DINO via Coding Rate Regularization
Feb 12, 2025
Cluster and Predict Latents Patches for Improved Masked Image Modeling
Feb 10, 2025
From Pixels to Components - Eigenvector Masking for Visual Representation Learning
Dec 18, 2024
TRecViT - A Recurrent Video Transformer
- video
- vit
Dec 04, 2024
Beyond cls - Exploring the true potential of Masked Image Modeling representations
Sep 26, 2024
HydraViT - Stacking Heads for a Scalable ViT
Aug 20, 2024
Near, far - Patch-ordering enhances vision foundation models' scene understanding
Jun 14, 2024
LieRE - Generalizing Rotary Position Encodings
- dl_theory
- vit
Jun 13, 2024
An Image is Worth More Than 16x16 Patches - Exploring Transformers on Individual Pixels
Apr 12, 2024
Scaling (Down) CLIP - A Comprehensive Analysis of Data, Architecture, and Training Strategies
Mar 27, 2024
ViTAR - Vision Transformer with Any Resolution
Mar 20, 2024
Rotary Position Embedding for Vision Transformer
- efficient_dl
- vit
Feb 07, 2024
EfficientViT-SAM - Accelerated Segment Anything Model Without Accuracy Loss
- efficient_dl
- vit
Jan 20, 2024
LRP-QViT - Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation
Oct 30, 2023
Battle of the Backbones - A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
Oct 28, 2023
Patch-Wise Self-Supervised Visual Representation Learning - A Fine-Grained Approach
Oct 11, 2023
MatFormer - Nested Transformer for Elastic Inference
Oct 09, 2023
SimPLR - A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation
Sep 28, 2023
Vision Transformers Need Registers
Sep 07, 2023
DropPos - Pre-Training Vision Transformers by Reconstructing Dropped Positions
- foundation_models
- vit
Jun 09, 2023
FLSL - Feature-level Self-supervised Learning
- vit
- ssl
May 01, 2023
What Do Self-Supervised Vision Transformers Learn?
Apr 14, 2023
DINOv2 - Learning Robust Visual Features without Supervision
Mar 20, 2023
EVA-02 - A Visual Representation for Neon Genesis
Oct 27, 2022
PatchRot - A Self-Supervised Technique for Training Vision Transformers
- vit
- ssl
Oct 04, 2022
VICRegL - Self-Supervised Learning of Local Visual Features
Jun 18, 2022
Self-Supervised Learning of Object Parts for Semantic Segmentation
Apr 14, 2022
DeiT III - Revenge of the ViT
- vit
Mar 30, 2022
Exploring Plain Vision Transformer Backbones for Object Detection
Mar 18, 2022
Three things everyone should know about Vision Transformers
- computer_vision
- vit
Feb 14, 2022
How do vision transformers work?
Nov 11, 2021
Masked Autoencoders Are Scalable Vision Learners
- computer_vision
- vit
Oct 08, 2021
ViDT - An Efficient and Effective Fully Transformer-based Object Detector
Jun 28, 2021
Early Convolutions Help Transformers See Better
Jun 15, 2021
BEiT - BERT Pre-Training of Image Transformers
Jun 09, 2021
Is Space-Time Attention All You Need for Video Understanding
Apr 29, 2021
Emerging Properties in Self-Supervised Vision Transformers
Nov 18, 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Oct 22, 2020
An image is worth 16x16 words - Transformers for image recognition at scale
- vit
- transformers
Jun 17, 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
- vit
Jun 14, 2019
Fixing the train-test resolution discrepancy
- vit

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