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Found 12 papers, 4 papers with code
On Assessing and Developing Spoken ’Grammatical Error Correction’ Systems
Due to a lack of end-to-end training data, SGEC is often implemented as a cascaded, modular system, consisting of speech recognition, disfluency removal, and grammatical error correction (GEC).
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected dataset KVQ from popular short-form video platform, i. e., Kuaishou/Kwai Platform.
VisualCritic: Making LMMs Perceive Visual Quality Like Humans
In this paper, we explore this question and provide the answer "Yes!".
KVQ: Kwai Video Quality Assessment for Short-form Videos
Short-form UGC video platforms, like Kwai and TikTok, have been an emerging and irreplaceable mainstream media form, thriving on user-friendly engagement, and kaleidoscope creation, etc.
Video Quality Assessment Based on Swin TransformerV2 and Coarse to Fine Strategy
Furthermore, a temporal transformer is utilized for spatiotemporal feature fusion across the video.
Joint Multiple FMCW Chirp Sequence Processing for Velocity Estimation and Ambiguity Resolving
This results in statistically not efficient velocity estimation and loss of processing gain.
FreqAlign: Excavating Perception-oriented Transferability for Blind Image Quality Assessment from A Frequency Perspective
Based on this, we propose to improve the perception-oriented transferability of BIQA by performing feature frequency decomposition and selecting the frequency components that contained the most transferable perception knowledge for alignment.
Blind Image Quality Assessment
Unsupervised Domain Adaptation
HST: Hierarchical Swin Transformer for Compressed Image Super-resolution
Compressed Image Super-resolution has achieved great attention in recent years, where images are degraded with compression artifacts and low-resolution artifacts.
Ranked #1 on
Compressed Image Super-resolution
on DIV2K-q40-x4
StyleAM: Perception-Oriented Unsupervised Domain Adaption for Non-reference Image Quality Assessment
Specifically, we find a more compact and reliable space i. e., feature style space for perception-oriented UDA based on an interesting/amazing observation, that the feature style (i. e., the mean and variance) of the deep layer in DNNs is exactly associated with the quality score in NR-IQA.
RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment
Therefore, we propose a Progressive Reinforcement learning based Instance Discarding module (termed as PRID) to progressively remove quality-irrelevant/negative instances for CCTA VIQA.
Attention Forcing for Machine Translation
This approach guides the model with the generated output history and reference attention, and can reduce the training-inference mismatch without a schedule or a classifier.
Attention Forcing for Sequence-to-sequence Model Training
This paper introduces attention forcing, which guides the model with generated output history and reference attention.
