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 3826–3850 of 10420 papers

TitleStatusHype
A Bandit Approach with Evolutionary Operators for Model Selection—0
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning—0
Multi-Scale Semantic Segmentation with Modified MBConv Blocks—0
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors—0
EVA-CLIP-18B: Scaling CLIP to 18 Billion ParametersCode0
A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link—0
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning—0
Pre-training of Lightweight Vision Transformers on Small Datasets with Minimally Scaled Images—0
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained WarpingCode0
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate—0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
SynthVision - Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image data—0
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision TransformersCode0
Foundation Model Makes Clustering A Better Initialization For Cold-Start Active LearningCode0
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification—0
Déjà Vu Memorization in Vision-Language Models—0
CEPA: Consensus Embedded Perturbation for Agnostic Detection and Inversion of Backdoors—0
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning—0
Faster Inference of Integer SWIN Transformer by Removing the GELU Activation—0
Segment Any Change—0
Direct side information learning for zero-shot regressionCode0
Deep Continuous NetworksCode0
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics—0
CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography—0
Towards Physical Plausibility in Neuroevolution SystemsCode0
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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