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

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Showing 701–750 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
Dynamic Perceiver for Efficient Visual RecognitionCode1
Masking meets Supervision: A Strong Learning AllianceCode1
Balanced Energy Regularization Loss for Out-of-distribution DetectionCode1
FewSAR: A Few-shot SAR Image Classification BenchmarkCode1
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image ClassificationCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksCode1
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Fast and Private Inference of Deep Neural Networks by Co-designing Activation FunctionsCode1
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image RecognitionCode1
MOFI: Learning Image Representations from Noisy Entity Annotated ImagesCode1
Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-TrainingCode1
Revisiting Token Pruning for Object Detection and Instance SegmentationCode1
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
Revising deep learning methods in parking lot occupancy detectionCode1
Towards Label-free Scene Understanding by Vision Foundation ModelsCode1
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision TransformersCode1
The Information Pathways Hypothesis: Transformers are Dynamic Self-EnsemblesCode1
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt TuningCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
Vocabulary-free Image ClassificationCode1
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-TuningCode1
Training-free Neural Architecture Search for RNNs and TransformersCode1
LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity OptimizationCode1
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy LabelsCode1
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANNCode1
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllersCode1
Deeply Coupled Cross-Modal Prompt LearningCode1
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image ClassificationCode1
A Rainbow in Deep Network Black BoxesCode1
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language ModelsCode1
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray ClassificationCode1
LowDINO -- A Low Parameter Self Supervised Learning ModelCode1
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image RecognitionCode1
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural NetworksCode1
Knowledge Diffusion for DistillationCode1
Training on Thin Air: Improve Image Classification with Generated DataCode1
Lightweight Learner for Shared Knowledge Lifelong LearningCode1
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained ModelsCode1
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified