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272986953 | 2409.20429 | 2024-09-30 | HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding | Large Vision-Language Models (LVLMs) have shown remarkable performance on many visual-language tasks. However, these models still suffer from multimodal hallucination, which means the generation of objects or content that violates the images. Many existing work detects hallucination by directly judging whether an objec... | [
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272987165 | 2409.19946 | 2024-09-30 | Illustrious: an Open Advanced Illustration Model | In this work, we share the insights for achieving state-of-the-art quality in our text-to-image anime image generative model, called Illustrious. To achieve high resolution, dynamic color range images, and high restoration ability, we focus on three critical approaches for model improvement. First, we delve into the si... | [
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273185618 | 2410.03737 | 2024-09-30 | Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN | As wireless networks grow to support more complex applications, the Open Radio Access Network (O-RAN) architecture, with its smart RAN Intelligent Controller (RIC) modules, becomes a crucial solution for real-time network data collection, analysis, and dynamic management of network resources including radio resource bl... | [
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272987798 | 2409.20500 | 2024-09-30 | FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing | Text-to-video diffusion models have made remarkable advancements. Driven by their ability to generate temporally coherent videos, research on zero-shot video editing using these fundamental models has expanded rapidly. To enhance editing quality, structural controls are frequently employed in video editing. Among these... | [
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272987148 | 2409.19986 | 2024-09-30 | SuperPose: Improved 6D Pose Estimation with Robust Tracking and Mask-Free Initialization | We developed a robust solution for real-time 6D object detection in industrial applications by integrating FoundationPose, SAM2, and LightGlue, eliminating the need for retraining. Our approach addresses two key challenges: the requirement for an initial object mask in the first frame in FoundationPose and issues with ... | [
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272987108 | 2409.19911 | 2024-09-30 | Replace Anyone in Videos | The field of controllable human-centric video generation has witnessed remarkable progress, particularly with the advent of diffusion models. However, achieving precise and localized control over human motion in videos, such as replacing or inserting individuals while preserving desired motion patterns, still remains a... | [
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273022639 | 2410.00210 | 2024-09-30 | End-to-end Piano Performance-MIDI to Score Conversion with Transformers | The automated creation of accurate musical notation from an expressive human performance is a fundamental task in computational musicology. To this end, we present an end-to-end deep learning approach that constructs detailed musical scores directly from real-world piano performance-MIDI files. We introduce a modern tr... | [
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272987074 | 2409.19839 | 2024-09-30 | ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities | Forecasts of future events are essential inputs into informed decision-making. Machine learning (ML) systems have the potential to deliver forecasts at scale, but there is no framework for evaluating the accuracy of ML systems on a standardized set of forecasting questions. To address this gap, we introduce ForecastBen... | [
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273022566 | 2410.00270 | 2024-09-30 | Real-time Diverse Motion In-betweening with Space-time Control | In this work, we present a data-driven framework for generating diverse in-betweening motions for kinematic characters. Our approach injects dynamic conditions and explicit motion controls into the procedure of motion transitions. Notably, this integration enables a finer-grained spatial-temporal control by allowing us... | [
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282445510 | 2409.20018 | 2024-09-30 | Visual Context Window Extension: A New Perspective for Long Video Understanding | Large Multimodal Models (LMMs) have demonstrated impressive performance in short video understanding tasks but face great challenges when applied to long video understanding. In contrast, Large Language Models (LLMs) exhibit outstanding capabilities in modeling long texts. Existing work attempts to address this issue b... | [
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272987724 | 2409.19901 | 2024-09-30 | SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network | Survival analysis plays a crucial role in estimating the likelihood of future events for patients by modeling time-to-event data, particularly in healthcare settings where predictions about outcomes such as death and disease recurrence are essential. However, this analysis poses challenges due to the presence of censor... | [
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273022509 | 2410.00266 | 2024-09-30 | Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation | Scene sketch semantic segmentation is a crucial task for various applications including sketch-to-image retrieval and scene understanding. Existing sketch segmentation methods treat sketches as bitmap images, leading to the loss of temporal order among strokes due to the shift from vector to image format. Moreover, the... | [
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272987030 | 2409.20255 | 2024-09-30 | PerCo (SD): Open Perceptual Compression | We introduce PerCo (SD), a perceptual image compression method based on Stable Diffusion v2.1, targeting the ultra-low bit range. PerCo (SD) serves as an open and competitive alternative to the state-of-the-art method PerCo, which relies on a proprietary variant of GLIDE and remains closed to the public. In this work, ... | [
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272987601 | 2409.20428 | 2024-09-30 | Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information | The human visual system is capable of processing continuous streams of visual information, but how the brain encodes and retrieves recent visual memories during continuous visual processing remains unexplored. This study investigates the capacity of working memory to retain past information under continuous visual stim... | [
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272987502 | 2409.20147 | 2024-09-30 | Classification of Radiological Text in Small and Imbalanced Datasets in a Non-English Language | Natural language processing (NLP) in the medical domain can underperform in real-world applications involving small datasets in a non-English language with few labeled samples and imbalanced classes. There is yet no consensus on how to approach this problem. We evaluated a set of NLP models including BERT-like transfor... | [
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272986695 | 2409.19961 | 2024-09-30 | Multimodal LLM Enhanced Cross-lingual Cross-modal Retrieval | Cross-lingual cross-modal retrieval (CCR) aims to retrieve visually relevant content based on non-English queries, without relying on human-labeled cross-modal data pairs during training. One popular approach involves utilizing machine translation (MT) to create pseudo-parallel data pairs, establishing correspondence b... | [
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