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 6951–7000 of 10420 papers

TitleStatusHype
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model—0
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification—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
Offloading Algorithms for Maximizing Inference Accuracy on Edge Device Under a Time Constraint—0
DeepPSL: End-to-end perception and reasoning—0
Bayesian Inference for Large Scale Image Classification—0
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks—0
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning—0
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition—0
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks—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
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
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification—0
OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting—0
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students—0
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-guided Feature Imitation—0
Deep Poisoning: Towards Robust Image Data Sharing against Visual Disclosure—0
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification—0
AMUN: Adversarial Machine UNlearning—0
Knowledge Distillation for Incremental Learning in Semantic Segmentation—0
One-bit Supervision for Image Classification: Problem, Solution, and Beyond—0
Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN—0
One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map—0
One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression—0
On effects of Knowledge Distillation on Transfer Learning—0
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models—0
Knowledge accumulating: The general pattern of learning—0
Deep Octonion Networks—0
Adaptive Noise-Tolerant Network for Image Segmentation—0
Knee or ROC—0
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones—0
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning—0
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics—0
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense—0
Bayesian Adaptation for Covariate Shift—0
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis—0
Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification—0
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework—0
Kernel Reconstruction ICA for Sparse Representation—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