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 10026–10050 of 10420 papers

TitleStatusHype
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition—0
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks—0
EA-KD: Entropy-based Adaptive Knowledge Distillation—0
Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning—0
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports—0
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation—0
KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches—0
Kolmogorov-Arnold networks for metal surface defect classification—0
KTAN: Knowledge Transfer Adversarial Network—0
Label Consistent Transform Learning for Hyperspectral Image Classification—0
Label Denoising through Cross-Model Agreement—0
Label-Efficient Group Robustness via Out-of-Distribution Concept Curation—0
Label-efficient Single Photon Images Classification via Active Learning—0
Label-Embedding for Attribute-Based Classification—0
Label Embedding with Partial Heterogeneous Contexts—0
Label Geometry Aware Discriminator for Conditional Generative Networks—0
Label-noise-tolerant medical image classification via self-attention and self-supervised learning—0
Label-similarity Curriculum Learning—0
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification—0
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization—0
Laconic Deep Learning Computing—0
Laconic Image Classification: Human vs. Machine Performance—0
LaCoOT: Layer Collapse through Optimal Transport—0
Ladder Networks for Semi-Supervised Hyperspectral Image Classification—0
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units—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