Revisiting realistic test-time training: Sequential inference and adaptation by anchored clustering regularized self-training
Deploying models on target domain data subject to distribution shift requires adaptation.
Test-time training (TTT) emerges as a solution to this adaptation under a realistic scenario …
Test-time training (TTT) emerges as a solution to this adaptation under a realistic scenario …
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
Existing approaches towards anomaly detection (AD) often rely on a substantial amount of
anomaly-free data to train representation and density models. However, large anomaly-free …
anomaly-free data to train representation and density models. However, large anomaly-free …
[HTML][HTML] Active self-semi-supervised learning for few labeled samples
Training deep models with limited annotations poses a significant challenge when applied
to diverse practical domains. Employing semi-supervised learning alongside the self …
to diverse practical domains. Employing semi-supervised learning alongside the self …
Language-aware multiple datasets detection pretraining for DETRs
J Hao, S Chen - Neural Networks, 2024 - Elsevier
Pretraining on large-scale datasets can boost the performance of object detectors while the
annotated datasets for object detection are hard to scale up due to the high labor cost. What …
annotated datasets for object detection are hard to scale up due to the high labor cost. What …
Advancing Fair and Data-Efficient Deep Learning Models for Computer Vision
MM Afzal - 2024 - search.proquest.com
In recent years, deep learning and computer vision have driven significant advancements in
visual recognition tasks. However, these models often overlook a critical aspect: fairness …
visual recognition tasks. However, these models often overlook a critical aspect: fairness …
데이터셋품질개선을위한Self-Supervised Vision Transformer 기반의객체Pseudo-label 생성기법
김도현， 전지웅， 임성택， 이홍철 - 정보과학회논문지, 2024 - dbpia.co.kr
이미지 분할은 이미지에 존재하는 객체를 객체 상자로 지역화하고 픽셀을 적절한 범주로
분류하는 컴퓨터 비전의 중요한 분야 중 하나이다. Instance segmentation 모델의 성능을 …
분류하는 컴퓨터 비전의 중요한 분야 중 하나이다. Instance segmentation 모델의 성능을 …
Kolon Polipleri için Kolonoskopi ve Histopatoloji Görüntülerinden Yapay Zekâ Destekli Prognostik Belirteç Tespiti
Kolon kanseri vakalarının çoğu kolon mukozasında anormal hücre çoğalmasından
kaynaklanan poliplerle başlar. Bu projede Kayseri Şehir Hastanesi gastroenteroloji kliniğine …
kaynaklanan poliplerle başlar. Bu projede Kayseri Şehir Hastanesi gastroenteroloji kliniğine …
Few-Shot Anomaly Detection on Industrial Images through Contrastive Fine-Tuning
Detecting abnormal products through imagery data is essential to the quality control in
manufacturing. Existing approaches towards anomaly detection~(AD) often rely on …
manufacturing. Existing approaches towards anomaly detection~(AD) often rely on …