Results 131 to 140 of about 151,060 (281)

Geo2DGS‐SLAM: Geometry‐Driven SLAM With 2D Gaussian Splatting

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Recent advances in SLAM systems based on 3D Gaussian Splatting have enabled dense and photorealistic scene reconstruction. However, 3DGS‐based methods still suffer from limited geometric awareness due to the lack of normal rendering support, view inconsistency and weak depth constraints, ultimately hindering high‐fidelity geometric ...
Weiqing Yan, Tianhao Xie, Liang Liao, Wujie Zhou, Chang Tang   +4 more
wiley   +1 more source

MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields

IEEE Access
Hinged on the representation power of neural networks, neural radiance fields (NeRF) have recently emerged as one of the promising and widely applicable methods for 3D object and scene representation.
Jaeyoung Chung, Kanggeon Lee, Sungyong Baik, Kyoung Mu Lee   +3 more
doaj   +1 more source

Partitioned Desires: Female Agency and Interfaith Relationships Around the Partition of India

Gender &History, EarlyView.
ABSTRACT Through an examination of the phenomenon of abduction, I suggest that the preoccupation with women's violation during the 1947 Partition of India has obfuscated a history of female desire. Considering accusations of kidnapping made by women's families against men belonging to a different religion in instances of interfaith desire, I ...
Angad Singh
wiley   +1 more source

Class-Incremental Learning-Based Few-Shot Underwater-Acoustic Target Recognition

Journal of Marine Science and Engineering
This paper proposes an underwater-acoustic class-incremental few-shot learning (UACIL) method for streaming data processing in practical underwater-acoustic target recognition scenarios. The core objective is to expand classification capabilities for new
Wenbo Wang, Ye Li, Tongsheng Shen, Dexin Zhao   +3 more
doaj   +1 more source

STRATIFIED ADAPTATION: Infrastructure, Elevation, and Cascading Floods in the Urban Mekong Delta

International Journal of Urban and Regional Research, EarlyView.
Abstract Flood‐prone cities in the global South are increasingly the target of infrastructure projects aimed at building climate ‘resilience’. At the same time, residents of these cities take adaptation to flooding into their own hands. In this article we examine the interrelationship between household‐scale and urban‐scale flood mitigation projects in
Lizzie Yarina, Vuong Kha Tu, Tran Kim Bao, Ly Quoc Dang   +3 more
wiley   +1 more source

Integrative Psychotherapy of Emotional and Psychosomatic Regulation: Promoting Transformational Processes1

Journal of Analytical Psychology, EarlyView.
Abstract This article outlines an integrative, trauma‐oriented, polyvagal‐informed framework for psychodynamic psychotherapy. In this approach, patients are inherently motivated to overcome entrenched, repetitive patterns, seeking to restore a sense of safety that was lost during developmental phases.
Andrea Fontana, Lucia Sideli, Alessio Gori, Adriano Schimmenti, Vincenzo Caretti   +4 more
wiley   +1 more source

EVOLVING NEURAL NETWORKS THAT SUFFER MINIMAL CATASTROPHIC FORGETTING

, 2008
Catastrophic forgetting is a well-known failing of many neural network systems whereby training on new patterns causes them to forget previously learned patterns.
John A. Bullinaria, Tebogo Seipone
core  

Bridging the Late Antique Gap in Northwest Arabia: New Archaeological Evidence on the Occupation of Wādī al‐Qurā (al‐ʿUlā [AlUla], Saudi Arabia) Between the Third and Seventh Centuries CE

Arabian Archaeology and Epigraphy, EarlyView.
ABSTRACT In 2019, the Dadan Archaeological Project (CNRS/RCU/AFALULA) identified a Late Antique village 1 km south of ancient Dadan in the al‐ʿUlā valley (northwest Saudi Arabia). Three excavation seasons at this site (2021–2023) have uncovered a massive building constructed in the late third or early fourth cent.
Jérôme Rohmer, Abdulrahman Alsuhaibani, Charlène Bouchaud, Elora Chambraud, Vladimir Dabrowski, Hatem Djerbi, Fabien Lesguer, Hervé Monchot, Paul Picavet, Louise Purdue, Bertrand Riba, Shadi Shabo   +11 more
wiley   +1 more source

Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting

We are motivated primarily by the adaptation of text-to-speech synthesis models; however we argue that more generic parameter-efficient fine-tuning (PEFT) is an appropriate framework to do such adaptation. Nevertheless, catastrophic forgetting remains an
Chen, Haolin, Garner, Philip N.
core   +2 more sources

Overcoming Catastrophic Forgetting with Context-Dependent Activations

, 2019
Overcoming Catastrophic Forgetting in neural networks is crucial to solving continuous learning problems. Deep Reinforcement Learning uses neural networks to make predictions of actions according to the current state space of an environment. In a dynamic
Dinu, Marius-Constantin
core   +2 more sources