SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 701725 of 10419 papers

TitleStatusHype
MobileViG: Graph-Based Sparse Attention for Mobile Vision ApplicationsCode1
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial PredictionsCode1
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional ModelsCode1
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology ImageCode1
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation ModelsCode1
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis TasksCode1
Training Transformers with 4-bit IntegersCode1
Efficient ResNets: Residual Network DesignCode1
Masking meets Supervision: A Strong Learning AllianceCode1
Dynamic Perceiver for Efficient Visual RecognitionCode1
Balanced Energy Regularization Loss for Out-of-distribution DetectionCode1
FewSAR: A Few-shot SAR Image Classification BenchmarkCode1
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image ClassificationCode1
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image RecognitionCode1
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Fast and Private Inference of Deep Neural Networks by Co-designing Activation FunctionsCode1
MOFI: Learning Image Representations from Noisy Entity Annotated ImagesCode1
Revisiting Token Pruning for Object Detection and Instance SegmentationCode1
Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-TrainingCode1
Two-Stage Holistic and Contrastive Explanation of Image ClassificationCode1
Large-scale Dataset Pruning with Dynamic UncertaintyCode1
Improving Visual Prompt Tuning for Self-supervised Vision TransformersCode1
Multi-level Multiple Instance Learning with Transformer for Whole Slide Image ClassificationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified