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 4851–4900 of 10420 papers

TitleStatusHype
Extensions of regret-minimization algorithm for optimal design—0
COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS—0
Extending Class Activation Mapping Using Gaussian Receptive Field—0
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape—0
Combined convolutional and recurrent neural networks for hierarchical classification of images—0
Extended Batch Normalization—0
Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks—0
Differentiable Combinatorial Losses through Generalized Gradients of Linear Programs—0
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap—0
Adversarial Training for Relation Extraction—0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables—0
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning—0
Combating Noisy Labels in Long-Tailed Image Classification—0
Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification—0
Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification—0
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy—0
Exploring the significance of using perceptually relevant image decolorization method for scene classification—0
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification—0
Are all negatives created equal in contrastive instance discrimination?—0
Adversarial Training for Graph Neural Networks via Graph Subspace Energy Optimization—0
A Bag of Visual Words Model for Medical Image Retrieval—0
Exploring the Sharpened Cosine Similarity—0
Exploring the Integration of Key-Value Attention Into Pure and Hybrid Transformers for Semantic Segmentation—0
Color-S^4L: Self-supervised Semi-supervised Learning with Image Colorization—0
Higher Chest X-ray Resolution Improves Classification Performance—0
Exploring the Deep Feature Space of a Cell Classification Neural Network—0
Exploring the cloud of feature interaction scores in a Rashomon set—0
Color-NeuraCrypt: Privacy-Preserving Color-Image Classification Using Extended Random Neural Networks—0
Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical—0
Exploring Temporal Differences in 3D Convolutional Neural Networks—0
Color Image Classification via Quaternion Principal Component Analysis Network—0
Exploring Target Driven Image Classification—0
Exploring Structural Nonlinearity in Binary Polariton-Based Neuromorphic Architectures—0
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50—0
Color and Shape Content Based Image Classification using RBF Network and PSO Technique: A Survey—0
ArchNet: Data Hiding Model in Distributed Machine Learning System—0
Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning—0
COLORA: Efficient Fine-Tuning for Convolutional Models with a Study Case on Optical Coherence Tomography Image Classification—0
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation—0
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning—0
Co-localization with Category-Consistent Features and Geodesic Distance Propagation—0
Collective Learning—0
Exploring Feature Reuse in DenseNet Architectures—0
Collage Inference: Using Coded Redundancy for Low Variance Distributed Image Classification—0
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning—0
Exploring Explainability Methods for Graph Neural Networks—0
Exploring Explainability in Video Action Recognition—0
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models—0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition—0
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines—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
10RevCol-HTop 1 Accuracy90—Unverified