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 6926–6950 of 10420 papers

TitleStatusHype
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model—0
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification—0
Object-Centric Representation Learning from Unlabeled Videos—0
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports—0
Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning—0
EA-KD: Entropy-based Adaptive Knowledge Distillation—0
Object Detection on Single Monocular Images through Canonical Correlation Analysis—0
DeepPSL: End-to-end perception and reasoning—0
Object-Level Representation Learning for Few-Shot Image Classification—0
Bayesian Inference for Large Scale Image Classification—0
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks—0
Object-oriented backdoor attack against image captioning—0
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition—0
Representative Teacher Keys for Knowledge Distillation Model Compression Based on Attention Mechanism for Image Classification—0
Knowledge Distillation with Feature Maps for Image Classification—0
Bayesian Federated Neural Matching that Completes Full Information—0
An Access Control Method with Secret Key for Semantic Segmentation Models—0
Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning—0
Achieving Explainability in a Visual Hard Attention Model through Content Prediction—0
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products—0
Occupancy Detection in Vehicles Using Fisher Vector Image Representation—0
Knowledge distillation using unlabeled mismatched images—0
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains—0
Knowledge Distillation in Vision Transformers: A Critical Review—0
Deep Predictive Coding Network for Object Recognition—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified