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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4226–4250 of 10420 papers

TitleStatusHype
Applications of Sequential Learning for Medical Image Classification—0
Noise-Tolerant Few-Shot Unsupervised Adapter for Vision-Language Models—0
Boosting High Resolution Image Classification with Scaling-up TransformersCode0
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks—0
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss—0
Multi-Label Feature Selection Using Adaptive and Transformed RelevanceCode0
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained RecognitionCode0
Masked Image Residual Learning for Scaling Deeper Vision TransformersCode0
Single Image Test-Time Adaptation for Segmentation—0
Convolutional autoencoder-based multimodal one-class classification—0
Combining Two Adversarial Attacks Against Person Re-Identification Systems—0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning—0
Multi-modal Domain Adaptation for REG via Relation Transfer—0
A Unified Scheme of ResNet and Softmax—0
Understanding Calibration of Deep Neural Networks for Medical Image Classification—0
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image ClassificationCode0
Associative TransformerCode0
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion—0
H²O: Heatmap by Hierarchical OcclusionCode0
COSE: A Consistency-Sensitivity Metric for Saliency on Image ClassificationCode0
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI—0
Investigating the Catastrophic Forgetting in Multimodal Large Language Models—0
The role of causality in explainable artificial intelligence—0
Heterogeneous Generative Knowledge Distillation with Masked Image Modeling—0
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification—0
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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