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 2401–2425 of 10420 papers

TitleStatusHype
Boosting High Resolution Image Classification with Scaling-up TransformersCode0
Applications of Sequential Learning for Medical Image Classification—0
Multi-Label Feature Selection Using Adaptive and Transformed RelevanceCode0
Efficient Post-training Quantization with FP8 FormatsCode4
Noise-Tolerant Few-Shot Unsupervised Adapter for Vision-Language Models—0
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss—0
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks—0
Masked Image Residual Learning for Scaling Deeper Vision TransformersCode0
Single Image Test-Time Adaptation for Segmentation—0
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained RecognitionCode0
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
ClusterFormer: Clustering As A Universal Visual LearnerCode1
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
MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide ImagesCode1
Investigating the Catastrophic Forgetting in Multimodal Large Language Models—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