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 41014125 of 10420 papers

TitleStatusHype
Visual correspondence-based explanations improve AI robustness and human-AI team accuracyCode1
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification0
Adaptive occlusion sensitivity analysis for visually explaining video recognition networksCode0
SSIVD-Net: A Novel Salient Super Image Classification & Detection Technique for Weaponized ViolenceCode1
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification0
Few-shot Learning with Class-Covariance Metric for Hyperspectral Image ClassificationCode1
TransCL: Transformer Makes Strong and Flexible Compressive LearningCode1
Dynamic Channel Selection in Self-Supervised LearningCode0
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision TransformerCode1
An Encryption Method of ConvMixer Models without Performance Degradation0
Black-box Few-shot Knowledge DistillationCode1
Robust Scene Inference under Noise-Blur Dual Corruptions0
Spatial-Channel Token Distillation for Vision MLPsCode0
Online Knowledge Distillation via Mutual Contrastive Learning for Visual RecognitionCode1
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling0
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation0
Do Perceptually Aligned Gradients Imply Adversarial Robustness?Code0
Deep transfer learning method based on automatic domain alignment and moment matchingCode0
Efficient CNN Architecture Design Guided by VisualizationCode0
TinyViT: Fast Pretraining Distillation for Small Vision Transformers0
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing0
AutoDiCE: Fully Automated Distributed CNN Inference at the EdgeCode1
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning0
EASNet: Searching Elastic and Accurate Network Architecture for Stereo MatchingCode0
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup0
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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